Home
Search results “Data mining scientist salary”
Data Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD
 
01:00
Data Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=l7S-Xks0vwc&campaign=youtube_channel&utm_source=youtube&utm_medium=ds-salary-faq&utm_campaign=youtube_channel As Data Science jobs are booming across the world, people are swapping their job into the Data Science world. So, what is so attractive about Data Science jobs is it the Salary or the long-term career growth. Yes, it is the current big thing in the world, because of its highly demanding requirement across the industries to handle the enormous big data as well as the salaries of data scientists. So, let’s check the Data Scientist Salaries in India. What is the Data Science Job Salaries or a Data Scientist Salary? Data Scientists on an average earn 6,50,000 INR annually as per the Glassdoor statistics. The work experience and skills greatly affect the salary.  For an Entry-Level Data Scientist, the average salary is Rs 579,714 per annum  For an Experienced Data Scientist, the average salary is Rs 2,067,820 per annum Also, some of the in-demand skills for the data science job profile are Data Mining / Data Warehouse, Machine Learning, Java, Apache Hadoop, Python, Artificial Intelligence, and others. Please like and share the video and kindly give your feedbacks and subscribe the channel for more tutorial videos. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.liData Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD As Data Science jobs are booming across the world, people are swapping their job into the Data Science world. So, what is so attractive about Data Science jobs is it the Salary or the long-term career growth. Yes, it is the current big thing in the world, because of its highly demanding requirement across the industries to handle the enormous big data as well as the salaries of data scientists. So, let’s check the Data Scientist Salaries in India. What is the Data Science Job Salaries or a Data Scientist Salary? Data Scientists on an average earn 6,50,000 INR annually as per the Glassdoor statistics. The work experience and skills greatly affect the salary.  For an Entry-Level Data Scientist, the average salary is Rs 579,714 per annum  For an Experienced Data Scientist, the average salary is Rs 2,067,820 per annum Also, some of the in-demand skills for the data science job profile are Data Mining / Data Warehouse, Machine Learning, Java, Apache Hadoop, Python, Artificial Intelligence, and others. Please like and share the video and kindly give your feedbacks and subscribe the channel for more tutorial videos. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 4797 ACADGILD
CAREERS IN DATA ANALYTICS - Salary , Job Positions , Top Recruiters
 
12:34
CAREERS IN DATA ANALYTICS - Salary , Job Positions , Top Recruiters What IS DATA ANALYTICS? Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses. As a term, data analytics predominantly refers to an assortment of applications, from basic business intelligence (BI), reporting and online analytical processing (OLAP) to various forms of advanced analytics. In that sense, it's similar in nature to business analytics, another umbrella term for approaches to analyzing data -- with the difference that the latter is oriented to business uses, while data analytics has a broader focus. The expansive view of the term isn't universal, though: In some cases, people use data analytics specifically to mean advanced analytics, treating BI as a separate category. Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources. Types of data analytics applications : At a high level, data analytics methodologies include exploratory data analysis (EDA), which aims to find patterns and relationships in data, and confirmatory data analysis (CDA), which applies statistical techniques to determine whether hypotheses about a data set are true or false. EDA is often compared to detective work, while CDA is akin to the work of a judge or jury during a court trial -- a distinction first drawn by statistician John W. Tukey in his 1977 book Exploratory Data Analysis. Data analytics can also be separated into quantitative data analysis and qualitative data analysis. The former involves analysis of numerical data with quantifiable variables that can be compared or measured statistically. The qualitative approach is more interpretive -- it focuses on understanding the content of non-numerical data like text, images, audio and video, including common phrases, themes and points of view. At the application level, BI and reporting provides business executives and other corporate workers with actionable information about key performance indicators, business operations, customers and more. In the past, data queries and reports typically were created for end users by BI developers working in IT or for a centralized BI team; now, organizations increasingly use self-service BI tools that let execs, business analysts and operational workers run their own ad hoc queries and build reports themselves. Keywords: being a data analyst, big data analyst, business analyst data warehouse, data analyst, data analyst accenture, data analyst accenture philippines, data analyst and data scientist, data analyst aptitude questions, data analyst at cognizant, data analyst at google, data analyst at&t, data analyst australia, data analyst basics, data analyst behavioral interview questions, data analyst business, data analyst career, data analyst career path, data analyst career progression, data analyst case study interview, data analyst certification, data analyst course, data analyst in hindi, data analyst in india, data analyst interview, data analyst interview questions, data analyst job, data analyst resume, data analyst roles and responsibilities, data analyst salary, data analyst skills, data analyst training, data analyst tutorial, data analyst vs business analyst, data mapping business analyst, global data analyst bloomberg, market data analyst bloomberg
Views: 25508 THE MIND HEALING
Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary
 
09:08
Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary In this video we will explained Big Data and We will also explain how you can make career in it. So Do Like it Share it and Subscribe the channel for more such updates related to Education, Opinions and Interesting Facts. ►Ethical Hacking Details - https://www.youtube.com/watch?v=o0_janBsLso ✔ ►Digital Marketing Details - https://www.youtube.com/watch?v=r1suKCHLmXo&t=36s ✔ ►Top Online Website for Learning - https://www.youtube.com/watch?v=Xcm1iPiUJxo ✔ WATCH OUR BEST VIDEOS RELATED TO EDUCATION ►Everything About MBA in India - https://goo.gl/wGD8NM ✔ ►Top College Rankings - https://goo.gl/LEFzun ✔ ►All about Investment Banking - https://goo.gl/Hk1rix ✔ ►Financial Certification in Hindi - https://goo.gl/sKPqod ✔ ►Internship and Apprenticeship Video in Hindi - https://goo.gl/RCBqBY ✔ ►MCA Course Detail Hindi - https://goo.gl/bxntn3 ✔ ►After 12th Best Courses for Science, Commerce and Arts - https://goo.gl/rVMcTR ✔ ►BCA Course Related Video in Hindi - https://goo.gl/wsCM2G ✔ ►BTech Course Related Video in Hindi - https://goo.gl/DqvfGF ✔ ►Fastest and Easiest Way to Learn English - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔ ► How to Get Education LOAN in INDIA - https://www.youtube.com/watch?v=DoluUHBZ1zw ✔ ► MBA INDIA VS MBA ABROAD - WHICH IS BEST ? - https://www.youtube.com/watch?v=ufgd8pkvtjE ✔ ► Highest Paying Careers in India - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔ WATCH OUR BEST VIDEOS RELATED TO INTERESTING FACTS & OPINIONS [HINDI] ►Padmavati controversy in 5 minutes :- https://www.youtube.com/watch?v=ar_orIiwQqU&t=2s ✔ ►North Korea vs USA Nuclear War :- https://www.youtube.com/watch?v=HrJkIqc3lB8&t=1s ✔ ►Kamlesh Viral Video Truth :- https://www.youtube.com/watch?v=J-t0u81Tpt0&t=2s ✔ ►Dangal Girl Zaira Wasim Issue :- https://www.youtube.com/watch?v=j9z7MHSKG14&t=28s ✔ ►Countries where Education is free for Indians - https://www.youtube.com/watch?v=qDNG6H5qRA0&t=2s ✔ BUY OUR RECORDING GEAR AT DISCOUNTED PRICES:- External Recording Blue Mic -http://amzn.to/2ynJOSn My Nikon Dslr d5600 - http://amzn.to/2ynN7sV My Collar Mic- http://amzn.to/2x3LAEf ABOUT US :- Praveen Dilliwala is a youth oriented Review Channel Where you will get Videos related to Education,Opinions, Jobs, Motivational, Interesting Facts and also I will share my experience about these things. Our Motto is to provide unbiased and right information so that you make informed decision. Follow us on : Facebook - https://www.facebook.com/PraveenDilliwala Twitter - https://twitter.com/praveendiliwala Instagram - https://www.instagram.com/praveendilliwala Google Plus - https://plus.google.com/u/0/113602971119506935594
Views: 55349 Praveen Dilliwala
Top 10 High Paying Software Jobs - Check Out What It takes ?
 
05:50
Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment strategies, failure protection #08 Fronted Developer - $92,000 What It takes ? Programming in HTML5 CSS3, JavaScript, Node.js Browser Developer Tools(Firefox, Chrome) Experience with Data Formats (e.g., JSON, XML) Content Management Systems(word-press, Blogger, Joomla etc..) Front End Frameworks RESTful Services and APIs Testing and Debugging Version Control Systems # 07 Mobile Developer - $96,000 What It takes ? Cross-platform Development,iOS, Android BlackBerry, Windows etc Good UX/UI Design Skills Programming knowledge Java, C#, Objective C /Swift, HTML5, PHP etc. Knowledge of Cross Platform Mobile Development Tools # 06 Java Developer - $96,500 What It takes ? OOPs Concepts Design Patterns Data Structures JVM Multi-threading and Synchronization Domain Knowledge Networking, Multi Media, Automobile, Finance JUnit testing, debugging, ANT Source Control (GIT, SVN, CVS etc..) Database Programming (SQL) #05 Software Engineer - $98,000 What It takes ? Programming Skills, C/C++, JAVA, PHP, Python, HTML5/CSS3, Ruby etc Knowledge of Source control Debugging skills problem solving Attention to Detail Teamwork Unit testing #04 DevOps Engineer - $106,000 What It takes ? Linux/Unix Administration coding and scripting in Python, PHP, Perl,Ruby Knowledge of opensource tools Experience with systems and IT operations Continuous Improvement (CI) Continuous Deployment, tools like Jenkins collaboration, open communication automation/configuration management # 03 Data Scientist - $115,000 What It takes ? Data mining methods Processing, cleansing, and verifying of data Great communication skills statistical programming language R or Python Database Querying language SQL, mongoDB Statistics, Multi variable Calculus and Linear algebra # 02 Software Architect - $128,500 What it takes ? Knowledge of various software architectures Resolve technical problems Technically competent Strong communicator Knowledge of core frameworks high level guidance and direction on project work Strong design experience # 01 Software Development Manager -$132,000 What it takes ? Managing Relationships Project Planning Process Control Negotiation Skills Vendor Management Presentation Skills Problem solving and decision making Knowledge of Domain,Development Cycles,Automation process, Quality Assurance,Release Management Team Staffing Administrative functions
Views: 780984 eaZyTips
How Much Does A Data Scientist Earn In India?
 
00:45
From the kaggle community earn top dollars from consulting engagements. What factors can increase your data scientist salary? Springboard salaries in analytics salary india and usa bpi the destination for. What does a data scientist earn in your area? 259 salaries from anonymous how much make bangalore, india? The average salary for is 6,50,000. Career breaks what is the salary offered to data scientists in india how much do get paid? Quora. Data scientists? Learn more today w ibm. Data scientist salary report of 100 top tech companies dezyre. Data scientists earning more than cas, engineers times of india. Skills to boost your salary by 30% jigsaw academy. To meet their talent requirements, some companies 23 mar 2017 the average data scientist salary in india is as per research done by a person can easily earn an of about rs 185,000 26 dec 2013 mumbai based shashi godbole do it yourself (diy). Talented indian data scientists get top dollars why paid so much readwrite. Data scientists? Learn more today w ibm a url? Q payscale research in job. Analytics india salary study 2016 analytics magazine. Data scientist average salary india real world projects,placements. Data scientist, it salary (india) payscale. The highest paying skills associated with this job are data mining warehouse, machine learning, java, apache hadoop, and python it depends upon your experience the field in which you workedmu sigma offers average 6 lpa to freshers i intend ask about salary scientist is a very broad term used these days. Lakhs to data scientists5 jul 2017 scientist salary 6,50000(average). 24 feb 2016 it does not come as a surprise that data science is one of the fastest and scientist who heads a team of 10 or more people can earn as much 27 jul 2016 we get a lot of questions about data scientist salaries and different career senior data scientists at linkedin earn an average of a 2 sep 2011 salaries in analytic in india have sky rocketed in the last 5 to 8 years. Lakhs per annum (lpa) (as the analytics and big data salary report, 2016). Jobs and careers in data science how much can i earn as a scientist india? . A data scientist, it earns an average salary of rs 620,244 per year. Experience strongly influences income for this job. Salaries estimates based on 76 salaries 22 feb 2016 did we? Today, we are living in a world where your refrigerator not only they being handsomely paid, but career analytics has much more to candidate with big data and science skills earn rs. This is 28 apr 2016 the average analytics salary in india for year ending 2015 was inr 9. Average time to promotion is 18 24 months at the lower levels and 2 5 learn more about jigsaw's data science with sas course click here 21 jun 2016 below received from indeed, one of us top job searching portal an average salary a scientist earns in. The market for advanced analytics is hot and expected to show a growth of being data scientist considered one the sexiest jobs at least two my people get pinge
Views: 1580 Tell sparky
How to become a Data Analyst in India - Course and career
 
04:43
This video discuss How to become a data analyst in India. For more videos on Jobs &Careers :https://www.youtube.com/channel/UCEFTTJFLp4GipA7BLZNTXvA?view_as=subscriber For aptitude classes :https://www.youtube.com/watch?v=lxm6ez2cx6Y&list=PLjLhUHPsqNYnM1DmZhIbtd9wNhPO1HGPT Every business collects data such as sales figures, market research, logistics, or transportation costs. A data analyst's job is to take that data and analyse it to help companies make better business decisions. Some examples of a data analyst basic job functions include: 1) estimating market shares; 2) establishing a price of new materials for the market; 3) reducing transportation costs; 4) timing of sales and 5) figuring out when to hire or reduce the workforce.Data analysts are responsible for collecting, manipulating, and analyzing data. How To Get There? By obtaining a university degree, learning important analytical skills, and gaining valuable work experience, you can become a successful data analyst. A bachelor's degree is needed for most entry-level jobs, and a master's degree will be needed for many upper-level jobs. To become an initial level data analyst, you’ll have to earn a degree in a subject such as mathematics, statistics, economics, marketing, finance, or computer science. Higher level data analyst jobs may require a master’s or doctoral degree, and they usually guarantee higher pay. Individuals looking for data analyst jobs must be knowledgeable in computer programs such as Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data analysts also must have good communication skills, as they must have an open line of communication with the companies with which they work. Lets see some of the Best courses on Analytics offered in India. 1. Advanced Analytics for Management – IIM This program enables practitioners, managers, and decision-makers to use advanced analytics for better decision-making 2. Analytics Essentials – IIIT, Bangalore “Analytics Essentials”is a 3 months week-end program by International Institute of Information Technology Bangalore (IIITB)providing a foundational certification course in Business Analytics 3. Business Analytics and Intelligence (BAI) – IIM Bangalore This course provides in-depth knowledge of handling data and Business Analytics’ tools that can be used for fact-based decision-making. The participants will be able to analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and finance, sports, pharmaceutical, aerospace etc. 4. Certificate Program in Business Analytics – ISB, Hyderabad A combination of classroom and Technology aided learning platform, .Participants will typically be on campus for a 5 day schedule of classroom learning every alternate month for a span of 12 months, which would ideally be planned to include a weekend. 5. Data Analysis Online courses – SRM University SRM University offers part time online courses in data analysis in collaboration with Coursera, edX, Udacity. 6. Executive Program in Business Analytics – IIM Calcutta This executive 1 year long distance program is designed to expose participants to the tools and techniques of analytics. The program covers topics such as Data Mining, Soft Computing, Design of Experiments, Survey Sampling, Statistical Inference, Investment Management, Financial Modelling, Advanced marketing Research etc. 7. Executive Program in Business Analytics and Business Intelligence – IIM Ranchi Course duration is 3 months. Classes will be conducted by eminent professors and industry experts in the weekends in Mumbai/ Kolkata /Delhi /Bengaluru and in addition to these, there will be one-week learning in IIM Ranchi. 8. Jigsaw Academy courses Jigsaw Academy provides some online analytics courses.Their courses include; Foundation Course in Analytics Data Science Certification Human Resources (HR) Analytics Course Big Data Analytics Using Hadoop and R Advanced Certification in Retail Analytics Advanced Course in Financial Analytics Analytics with R Great Lakes PG Course in Business Analytics 9. M. Tech. Computer Science and Engineering with Specialization in Big Data Analytics – VIT VIT offers full time course in Big Data analysis to promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics 10. M.Tech (Database Systems) – SRM University SRM University offers a two year full time course in database systems where the students are exposed to theoretical concepts complemented by related practical experiments. 11. M.Tech Computer Engineering and Predictive Analytics – Crescent Engineering College Salary The Salary of Data analysts depends on job responsibilities. An entry-level data analyst with basic technical tools might be looking at anything from Rs. 5 lakhs to 12 lakhs per year. A senior data analyst with the skills of a data scientist can command a high price. #dataanalyst #careeroptions #datascience
How Much Does A Data Scientist Earn In India?
 
01:00
India news what kind of salaries do data scientists and analysts demand five reasons why are so hot now! analytics india india's make a fraction their us counterparts be 'data scientist', earn upto rs 75 lakhs year. How much does an entry level data scientist earn in india? Quora. Globally, india is one of two major analytics hubs, the other being u. Lakhs to data scientistsa scientist salary can't be decided in its highest term, because the average that earns amounts a total of rs 607,192 and is just on. 10l yearly as compared to a candidate with only big data skills who earns rsbig data 20 feb 2017 several companies in india, are keen to hire the best data scientists, and this demand clubbed with an exquisite set of skills that are a vital requirement how much do data scientists earn indeed states the average salary drawn by a data scientist nationwide in the united states is over usd117,000 22 jul 2017. Be a 'data scientist', earn upto rs 75 lakhs year 1 mar 2016 the average pay check was north of in 2015, with data scientists managerial roles making staggering median salary. What salary does a data scientist earn in bangalore? . What do data scientists earn? 2016 science salary report how much does a scientist earn in india? Youtube. 113 data scientist salaries in bangalore, india provided anonymously by employees. Thankfully, they choose to stay, said gaddu, the chief operating officer at gramener. The sudden prominence for data scientists highlight how startups and established players now need to comb huge volumes of information that is key 25 feb 2016 according the report, analysts experience biggest jump in salaries once they have clocked five years industry, can expect a raise up 70. Experience strongly influences income for this job. The highest paying skills associated with this job are data mining warehouse, machine learning, java, apache hadoop, and python. Gaurav vohra what is the salary offered to data scientists in india how much can i earn as a scientist india? Quora. May 2016 averbook, who was in india recently as the keynote speaker at shrm tech hr, told toi that companies should hire freshers. We believe that this a candidate with big data and science skills earn rs. Lakhs to data scientists. Data scientist, it salary (india) payscaleglassdoor. Companies are throwing huge salaries at those having the skills to take on positions of data analysts, scientists, engineers, etc. Gaurav vohra how much does a data scientist earn in india? . Could face a shortage of almost 200,000 people with deep analytical skills. The sooner companies can get their hands on those who really understand data and then teach them 13 sep 2017 accessibility of the today help to reap multiple benefits organisations from it. Data scientists earning more than cas, engineers. 389 data scientist salaries in india provided anonymously by employees. What salary does a data scientist earn in india? . Googleusercontent search. Gaurav vohra linkedin how much does da
Views: 956 Question Tray
Top 10 Certifications for 2018 | Highest Paying Certifications 2018 | Get Certified | Simplilearn
 
21:55
This "Top 10 Certifications For 2018" video will introduce you to all the Top 10 popular and trending certifications that pay you well in the current market. These are the highest paying certifications that you need to take up in order to make a successful career in the year of 2018. The Top 10 Certifications for 2018 are: 10. Digital Marketing (00:30) 09. Networking (02:35) 08. Programming (04:34) 07. Project Management (05:56) 06. DevOps (07:56) 05. Cyber Security ( 10:17 ) 04. BI Tools ( 12:07 ) 03. Big Data (14:39 ) 02. Cloud Computing ( 17:07 ) 01. Data Science ( 19:04 ) - - - - - - Subscribe to our channel for more Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 #Top10CertificationsFor2018 #HighestPayingCertifications #Simplilearn #DigitalMarketing #Programming #CloudComputing #DataScience #PMP #CyberSecurity #DevOps #BigData - - - - - - Learn DevOps: https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Cloud Computing: https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Big Data: https://www.simplilearn.com/big-data-and-analytics/big-data-hadoop-architect-masters-program-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Cyber Security: https://www.simplilearn.com/cyber-security/cissp-certification-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Digital Marketing: https://www.simplilearn.com/digital-marketing/advanced-online-marketing-certification-training-bundle?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Data Science: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Project Management: https://www.simplilearn.com/pmp-plus-bundle-masters-program?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Learn Networking: https://www.simplilearn.com/ccna-routing-and-switching-certification-training?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube Explore More Certification Courses: https://www.simplilearn.com/?utm_campaign=Top-10-Certifications-To-Learn-In-2018-jrY4UibuT4A&utm_medium=Tutorials&utm_source=youtube - - - - - - For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 65712 Simplilearn
Data Analyst Vs Data Scientist | Difference Between a Data Scientist and a Data Analyst
 
02:25
Data Analyst Vs Data Scientist | Difference Between a Data Scientist and a Data Analyst https://acadgild.com/big-data/data-analytics-training-certification?aff_id=6003&source=youtube&account=dY2yDwUfZu0&campaign=youtube_channel&utm_source=youtube&utm_medium=da-vs-ds&utm_campaign=youtube_channel To learn how data scientists are different from data analysts just takes – seconds/minutes. So, let’s get started. First up, they’re not entirely different. Both careers are in demand and pay well. The average data analyst earns $ 65,470, while the average data scientist makes $ 120,931. The difference in salaries, however, indicates a difference in the skill sets of these professionals. Data scientists are advanced data analysts. They possess additional skills that allow them to do more with data. Data analysts generally access known data from a single source like a CRM to solve a given set of business problems. These problems are usually customer or user-centric. Data analysts aim to uncover new insights from known data that can help them resolve the chosen problems. They manage data on programs like Excel. They use SQL to raise queries and find the solutions they are looking for. Much of their work revolves around scanning existing data to identify new patterns and make new correlations. Sometimes, they work with engineers to create new data if the known data is insufficient. Lastly, they use Tableau to effectively communicate their findings. Data scientists can perform most of the tasks data analysts perform. Additionally, they possess data warehousing, machine learning, programming and statistical modeling skills that help them formulate the most-pressing questions businesses must look to answer. They are proficient in programs like - Python, R, SAS, Matlab, SQL, Pig, Hive, Scala and Hadoop. Their work is not restricted to what affects customers. And, it involves working with data from multiple and often disconnected sources. Data scientists possess greater business acumen than analysts. They are also more adept at visualizing data and communicating insights to varied audiences. Given the power of data in today’s world, data scientists can ask the ‘what if’ questions to business stakeholders and IT leaders to alter the course of businesses with powerful story-telling. For these reasons, they earn twice as much as data analysts. Now you know what sets data scientists apart from data analysts. Become a Data Scientist: https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=dY2yDwUfZu0&campaign=youtube_channel&utm_source=youtube&utm_medium=da-vs-ds&utm_campaign=youtube_channel For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 30873 ACADGILD
Standard Bank Data Science Training Graduation Ceremony
 
10:51
Tech Mahindra and Standard Bank have successfully graduated 20 data scientists from the SB Team after a 3 month course on Data Science and Analytics. South African High Commissioner to India, Mr. F. K. Morule was the chief guest & Executives from Standard Bank Thula Ngonyama & Brendon Wilson handed over the certificates to successful graduates.
Views: 728 Tech Mahindra
How to get a Data Science Job
 
07:23
How to get a job in Data Science - some tips for you. ►How to become a Data Scientist https://youtu.be/jMvhFNGGT_0 ►Subscribe to my YouTube Channel https://goo.gl/Gewrvj SUPPORT MY CHANNEL ►Buy me a coffee https://www.ko-fi.com/S6S7LZYP AMAZON AFFILIATE LINKS Amazon (affiliate links) Hello World - Being Human in the Age of Algorithms https://amzn.to/2qJUjds Machine Learning for absolute beginners https://amzn.to/2K4dur4 Introduction to Statistical Learning https://amzn.to/2PwBI3o (Free version https://www-bcf.usc.edu/~gareth/ISL/ ) A First Course in Machine Learning https://amzn.to/2DlRqae The Elements of Statistical Learning: Data Mining, Inference, and Prediction https://amzn.to/2DHexwG - (Free version http://www-stat.stanford.edu/~tibs/ElemStatLearn/ ) Artificial Intelligence: A Modern Approach https://amzn.to/2PYzbOB Machine Learning: A Probabilistic Perspective https://amzn.to/2DqtEtQ Pattern Recognition and Machine Learning https://amzn.to/2DGtT4P Information Theory, Inference and Learning Algorithms https://amzn.to/2RX7nrd (Free version http://www.inference.org.uk/itprnn/book.pdf ) Make your Own Neural Network https://amzn.to/2DGG5T1 The Master Algorithm https://amzn.to/2DGgfia
Views: 1251 Python Programmer
Data Scientist Vs Actuary  Which is better?
 
05:29
A data scientist looks at storage of data, retrieval of data, mining data, visualising it, and extracting information from it. But how does this compare to an Actuary and which career path is better for you? If you are writing CT3/Exam P/Actuarial Statistics then you might be interested in this: Teachable - Statistics by MJ https://statistics-by-mj.teachable.com/p/stats-bundle 50% off for first 150 students: EARLYACCESS150 Instagram @statisticsbymj Discord Invite https://discord.gg/rgnAdDM
Views: 22024 MJ the Fellow Actuary
Linear Regression - Machine Learning Fun and Easy
 
07:47
Linear Regression - Machine Learning Fun and Easy ►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp ►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Hi and welcome to a new lecture in the Fun and Easy Machine Learning Series. Today I’ll be talking about Linear Regression. We show you also how implement a linear regression in excel Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. Dependent Variable – Variable who’s values we want to explain or forecast Independent or explanatory Variable that Explains the other variable. Values are independent. Dependent variable can be denoted as y, so imagine a child always asking y is he dependent on his parents. And then you can imagine the X as your ex boyfriend/girlfriend who is independent because they don’t need or depend on you. A good way to remember it. Anyways Used for 2 Applications To Establish if there is a relation between 2 variables or see if there is statistically signification relationship between the two variables- • To see how increase in sin tax has an effect on how many cigarettes packs are consumed • Sleep hours vs test scores • Experience vs Salary • Pokemon vs Urban Density • House floor area vs House price Forecast new observations – Can use what we know to forecast unobserved values Here are some other examples of ways that linear regression can be applied. • So say the sales of ROI of Fidget spinners over time. • Stock price over time • Predict price of Bitcoin over time. Linear Regression is also known as the line of best fit The line of best fit can be represented by the linear equation y = a + bx or y = mx + b or y = b0+b1x You most likely learnt this in school. So b is is the intercept, if you increase this variable, your intercept moves up or down along the y axis. M is your slope or gradient, if you change this, then your line rotates along the intercept. Data is actually a series of x and y observations as shown on this scatter plot. They do not follow a straight line however they do follow a linear pattern hence the term linear regression Assuming we already have the best fit line, We can calculate the error term Epsilon. Also known as the Residual. And this is the term that we would like to minimize along all the points in the data series. So say if we have our linear equation but also represented in statisitical notation. The residual fit in to our equation as shown y = b0+b1x + e ------------------------------------------------------------ Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy ------------------------------------------------------------ To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://augmentedstartups.info/home Please Like and Subscribe for more videos :)
Views: 115099 Augmented Startups
Mining Engineering Career Opportunities Field Salary Colleges by BrainChecker
 
05:19
http://www.brainchecker.in Mining Engineering Career by BrainChecker Stay tuned for regular updates from BrainChecker Channel. We provide excellent education related tips and excellent career guidance. Contact: https://goo.gl/forms/cmB1rRC4v5qF2rf73 Fill the form above and we would get in touch with you Hey there and welcome to the Brainchecker's YouTube channel, India’s largest Career Counseling Company!! Our entire video would be divided into 5 sections: - Introduction. - Nature of work. - Eligibility and Professional Courses available. - Best Colleges - Career prospects and Salary Students are requested to perform their own due research before choosing a career. You can check the description for additional details and assistance from Brain Checker. Introduction Mining engineering is an engineering discipline that applies science and technology to the extraction of minerals from the earth. Mining engineering is associated with many other disciplines, such as geology, mineral processing and metallurgy, geotechnical engineering and surveying. A mining engineer may manage any phase of mining operations – from exploration and discovery of the mineral resource, through feasibility study, mine design, development of plans, production and operations to mine closure. Nature of Work Mining Engineers design mines and will use engineering principles, technology and scientific theory for the safe and effective extraction of natural resources from these mines. Mining Engineers plan, design and operate the mining processes, both underground and above ground. Mining Engineers will be responsible for the overseeing of both mining operations and miners, and are employed by many mining-related organizations Duties The duties of a mining engineer include: • Involved in the design of both open-pit and underground mines • Overseeing of the operations of the mine • Training and supervision of personnel • Looking into methods for transporting minerals to the various processing plants • Oversee the design and construction of mine shafts and tunnels in underground mines • To ensure that mines are operated safely and in the most environmentally effective ways possible • Oversee the production rates to assess the effectiveness of the mine operation • To be involved in finding solutions for problematic areas such as water and air pollution, land reclamation etc. • Design and develop mines and determine the best way to extract metal or minerals to get the most out of deposits, and to extract as much out of the mine whilst maintaining strict safety and environmental issues at hand, for the least amount of money. • Involved in trying to limit the amount of water used in the operation, and keep pollution to a bare minimum. • Prepare technical reports for miners, engineers, and managers Now let’s go to, Eligibility and Professional Courses • 10+2 Science with Physics, Chemistry, Mathematics is mandatory with at least 60% marks. • Entrance examinations are conducted for admission to B.E./B.Tech programs in marine engineering. Some colleges could consider the marks obtained in 10+2 qualifying examination as well, for selection into these programs. • M.E./M.Tech programs can be pursued if the individual has completed B.E./B.Tech in the same discipline. Moreover, they need to qualify for GATE as well. We at Brain Checker help students in choosing their career. To know if this career suits your talents of skillsets, you can consult a Brain Checker Career Specialist. Check link in the description for more details. Now we are going to look at few good colleges offering this qualification : 1 IIT Kharagpur, West Bengal 2 IIT - BHU, Uttar Pradesh 3 Indian School of Mines, Jharkhand 4 NIT Surathkal, Karnataka 5 Visvesvaraya National Institute of Technology Nagpur, Maharashtra Moving on to the next part of the video........ Career Prospects There are a lot of opportunities for Mining Engineering graduates in the following fields,. Arab countries like Saudi Arabia, Kuwait, Qatar and UK provides profitable career opportunities to the eligible candidates. Job Profiles include: • Mining Engineer – Granite • Mining Engineering Technicians • Research Engineers- Data Mining • Assistant Mining Engineer • Mining Engineer • Mine Planner • Technical Consultant amongst others An Mining Engineering graduate gets an average salary between Rs.40,000 and Rs 50,000 per month at the entry level. It also depends on the university you graduate from. Top universities will fetch their graduates higher salary packages. After a couple of years of experience an individual can earn up to Rs 3,00,000 per month or more depending on the skill set, experience and performance. Thank you for watching, if you loved this Brain Checker Video please like, share and subscribe to us. Bye!!
What's difference?(Big data, predictive analytics, data science, data mining, business intelligence)
 
08:51
Download "Explore Me - Find everything nearby" App from playstore: https://play.google.com/store/apps/details?id=com.yogeshkorke.admin.exploreme This video describes the short difference between Big data analytics, predictive analytics, prescriptive analytics, descriptive analytics, business intelligence, data science, machine learning, data mining and their application with help of example store sales. Like, share and subscribe more such videos!
Views: 9090 Tech Storm
High Salary Jobs in Canada - Part 1
 
03:07
High Paid jobs offered in Canada. How much professors, engineers, managers, teachers, technicians, nurses can earn in Canada. Link to High Salary Jobs in Canada - Part 2 https://youtu.be/oZgV528zGXg You can send your CV at: [email protected] Currently they provide job placements with good salaries. Jobs in Canada work in canada pilot jobs aircraft engineer jobs marketing manager jobs network engineer jobs computer engineer jobs nurses jobs cooks jobs waiters jobs teacher vacancies professor vacancies technician jobs engineer jobs
Views: 1827049 GoAbroad
Statistics & Data Analysis: Does It Have A Future?
 
03:40
What Programming Language Should Programmers Learn In 2019? 💻 👉🏻https://www.youtube.com/watch?v=CwaSHqAWPUU SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Inevitable Book: https://simpleprogrammer.com/theinevitable Statistics & Data Analysis: Does It Have A Future? The process of evaluating data using analytical and logical reasoning to examine each component of the data provided is called data analysis or statistics. This form of analysis is just one of the many steps that must be completed when conducting a research experiment. Data from various sources is gathered, reviewed, and then analyzed to form some sort of finding or conclusion. There are a variety of specific data analysis method, some of which include data mining, text analytics, business intelligence, and data visualizations. (Source: http://www.businessdictionary.com/definition/data-analysis.html) As you know, we are gathering more and more data each new year. As our society develops, more data is stored and more it needs interpretation. Doest it has a future? Or is it a lost case? Watch this video and find out! If you have a question, email me at [email protected] If you liked this video, share, like and, of course, subscribe! Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT Visit Simple Programmer Website: http://simpleprogrammer.com/ Connect with me on social media: Facebook: https://www.facebook.com/SimpleProgrammer Twitter: https://twitter.com/jsonmez Other Links: Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email Simple Programmer blog: http://simpleprogrammer.com/blog Learn how to learn anything quickly: http://10stepstolearn.com Boost your career now: http://devcareerboost.com
Views: 15791 Bulldog Mindset
Top Data Scientist's Salary  & Their Designations-India.
 
01:01
Visualize the Invisible with Data Trick. Learn Business Statistics,Analytics,Data Science with us,from beginners to professionals it is your ultimate learning stop. Please like,subscribe and comment & help us help u better. Let us Grow and Succeed together. gmail:[email protected]
Views: 55 DATATRICK
Data Analyst Job Description | What 4 Skills Will You Need To Be A Data Analyst?
 
04:38
In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst. ► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► Break Into the Data Industry with the best data analytics online learning resources from Edureka! ( http://bit.ly/2yCbsac ) --- affiliate link to help support this channel!^ Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor I receive a lot of questions about what it takes to become a data analyst and what is a data analyst. Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry What will you actually be asked to do on the day to day as a data analyst. ► Top 4 Responsibilities in the Daily Life of a Data Analyst: 1 ) Mathematics Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics. - Addition - Subtraction - Multiplication - Division - Most Importantly --- Statistics Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you. 2 ) Computer Programming You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data. Before we move on let me define the term Query, if it does not resonate with you. You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data. ► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) 3 ) Know the Tools of the Trade Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc... As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate: - Duplicated data - Improperly formatted data - Incomplete data - Inaccurate data - This data will corrupt your findings and could possibly lose you client or employer millions of dollars. Make sure you know how to use those data analytics tools WELL! 4 ) Communicate and Present Insights Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives. Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best. The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide. Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness. TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond. ► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac ) affiliate link^ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Computer ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel!
Views: 86169 Ben G Kaiser
What is Data Mining - Data Science Jargon for Beginners
 
02:37
In this video I am going to give a simple and beginner definition of what data mining is in data analytics. The data science industry is very complicated, so I want to define data mining for you today. ► Full Playlist Explaining Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) ► http://jobsinthefuture.com/index.php/2017/11/25/what-is-data-mining-data-science-jargon-for-beginners/ Data Mining. This term is nearly self explanatory, but let's dig into it (haha, dig into it, data mining) and define data mining a little more to clarify any details. Data Miners explore large sets of data in order to discover patterns in the sets. Data miners look for patterns in order to define medical, buying habits, food shortages, etc... If you are going into the field of Data Analytics you will most certainly be doing a great deal of data mining. Data mining is a mass scale version of looking through thousands of people's daily biographies. What I mean by "looking through people's biographies" is you will be trying to understand how people are responding the the situation you are researching via data. Let's say your company releases a new drug to the market. This drug has been tested to stop the process of breakdown in joints that often leads to rheumatoid arthritis. Your drug ships out to 10,000 trial patients. Now you have a 10,000 person data set to manage. As the trial operates and the patients report their daily experience with the new drug you are being flooded with data about the drug. It is your job as the data miner to find the patterns and insights in order to accurately determine whether the drug is safe or not, the drug needs improvements, or perhaps the drug is not as effective as the company had hoped. In a nutshell data mining is a data analysts daily routine of researching data sets in order to learn from the data. Don't miss the Full review on Data Analytics defined and how to get a job! --- http://jobsinthefuture.com/index.php/2017/10/21/data-analyst-salary-and-how-to-become-a-data-analyst/ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Compute ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel! DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 446 Ben G Kaiser
Machine Learning Engineer Jobs, Resume & Salary | Machine Learning Engineer Salary Report | Edureka
 
17:40
( Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training ) This video will provide you with detailed knowledge of who is a Machine Learning Engineer, what are the salary trends, the job trends and the correct format of an ML engineer's resume. This video will also provide you with the job descriptions, roles and the skills required to become one successful ML Engineer. -------------------------- Do subscribe to our channel and hit the bell icon to never miss an update from us in the future:https://goo.gl/6ohpTV Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4 #MachineLearningEngineer #MachineLearningEngineerSalary Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka ------------------------------------- About the Masters Program Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master's Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ---------------------- Prerequisites There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry. -------------------------------------- Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information
Views: 4500 edureka!
Data Scientist- who is a Data scientist ?
 
06:23
Data scientist is an expert in Data science which is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or Unstructured. data mining, science jobs , data scientist salary , big data , data science careers , data scientist jobs , data analytics , data science degree , Please check my website for more deatils : http://datasciencebmac.weebly.com
Views: 95 Brandon Macaulay
Data Science vs Machine Learning
 
06:44
A simple distinction between Data Science vs Machine Learning for project managers and team leads. http://calculationconsulting.com
Top 10 Highest Paying Jobs In South Africa
 
03:34
Top 10 Highest Paying Jobs In South Africa The First And Highest Paying Jobs In South Africa, Is Software Engineering. Software Engineers Manage The Design, Development And Protection Of Software Packages. Though The Field In All Fairness Younger, It Has Quick End Up One Of The Country’s Maximum Critical Professions. 10. Chartered Accountant - R434,191 per year 9. Air Traffic Controller - R583,450 per year 8. Actuary - R598,055 per year 7. Management Consultant - R672,000 per year 6. Petroleum Engineers - R572, 600 per year 5. Specialist Doctors - R616,000 per year 4. IT Managers - R620,230 per year 3. Lawyers - R655,000 per year 2. Pilot - R695,800 per year 1. Software Engineers - R1.2 million per year Information Source : https://goo.gl/PpLroH Help Us In Growing Our Channel 👍.Please Like, Comment, Subscribe & Share 🍹👌 ✅ World Top Best ✅ https://www.youtube.com/c/WorldTopBest Our Social Media: Facebook: https://www.facebook.com/WorldTopBest/ Twitter: https://twitter.com/WorldTop_Best We Use The All Information We Collect From Google Search, Wikipedia And Other Place , Create Video By Video Editor. This Channel "World Top Best" Is About Various Topics Of Top 10 List From All Over The World Like Technology, Media, Sports, Country, Celebrity, Animals, Foods, Games, Education, People, Tourist Attractions, Building, Lakes and Facts.
Views: 40282 World Top Best
Data Scientist: кто нужен бизнесу и как их обучить | Виктор Кантор, Data Mining in Action
 
48:38
Подпишись: https://on.fless.pro/subscribe Беседуем с Виктором Кантором об образовании и карьерах в Data Science. Виктор, обучивший не одну сотню специалистов по DS в рамках Data Mining in Action, делится своими взглядами на потребности рынка, карьерные возможности для людей с разным бекграундом и перспективы образования в DS и DS в образовании. Изменит ли Data Science будущее? Или это очередной хайп? Пишите в комментариях. [TIMETAGS] 00:35 Data Science - что внутри? 11:53 Немного о Data Engineers 16:59 Нюансы обучения Data Scientist-ов 26:12 Data Science и его роль в образовании 36:51 Можно ли сделать изучение Data Science увлекательным? 38:28 Data Science и будущее разных профессий 46:03 О безусловном доходе Другие недавние интервью: - Data Science: Kaggle GRANDMASTER за полгода? | Павел Плесков, Data Nerds - https://youtu.be/5wMAPUrd0ag - КАРЬЕРА НА СТЫКЕ DIGITAL И STRATEGY CONSULTING | АНАСТАСИЯ КИМ, IBM iX - https://youtu.be/7kwd_0qYXY4 Канал Виктора Кантора в ТГ: https://t.me/kantor_ai Мы на других платформах: FLESS https://fless.pro Instagram https://www.instagram.com/flesspro Facebook https://www.facebook.com/flesspro VK https://vk.com/flesspro Telegram https://t.me/flesspro
Views: 8103 Fless
Data science / Data scientist jobs / courses
 
04:10
Subscribe to see more. How to Be a Data Scientist: Data Science Skill Development : In general terms, Data Science is the extraction of knowledge from large volumes of data that aren't structured, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining (KDD). Technology industry is a great career option, no matter how you look at it: Interesting work, high salaries and lots of opportunity. The data used by a Data Scientist can be both structured (metrics or raw numbers) and unstructured (e-mails, images, videos, or social data). The emerging Data Scientist needs to develop business domain knowledge. Frequently, candidates with stellar academic records fail on the job because they fail to apply their knowledge in real-world situations. Candidates must demonstrate quick aptitude for Data Science tools like R, Python, Hadoop, or SAS. Successful Data Scientists are usually convincing story tellers. They ought to be able to communicate the “story” hidden behind their findings. Visualization eases understanding. As Data Scientists often have to create algorithms to extract insights from such complex data, these “data magicians” are expected to be equipped with a variety of skills and experience levels. A Data scientist requires comprehensive mastery of a number of fields, such as software development, data munging, databases, statistics, machine learning and data visualization. Your job might consist of tasks like pulling data out of MySQL databases, becoming a master at Excel pivot tables, and producing basic data visualizations (e.g., line and bar charts). Data Scientists enjoy a median salary of $113,000. You may on occasion analyze the results of an A/B test or take the lead on your company’s Google Analytics account. A company like this is a great place for an aspiring data scientist to learn the ropes. Once you have a handle on your day-to-day responsibilities, a company like this can be a great environment to try new things and expand your skillset. A data scientist with a software engineering background might excel at a company, where it’s more important that a data scientist make meaningful data-like contributions to the production code and provide basic insights and analyses. Data Skills to Get You Hired : 1. Basic Tools 2. Basic Statistics 3. Machine Learning 4. Multivariable Calculus and Linear Algebra 5. Data Munging 6. Data Visualization & Communication 7. Software Engineering 8. Thinking Like A Data Scientist 9. Guide to Python and R, and which one is best Data scientists around the world are presented with exciting problems to solve. Within the complex questions they have to ask, a growing mountain of data rests a set of insights that can change entire industries. In order to get there, data scientists often rely on programming languages and tools. Python : Python is a versatile programming language that can do everything from data mining to plotting graphs. Its design philosophy is based on the importance of readability and simplicity. From the The Zen of Python: Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. As you can imagine, algorithms in Python are designed to be easy to read and write. Blocks of Python code are separated by indentations. Within each block, you’ll discover a syntax that wouldn’t be out of place in a technical handbook. Collect raw data Python supports all kinds of different data formats. You can play with comma-separated value documents (known as CSVs) or you can play with JSON sourced from the web. You can import SQL tables directly into your code. You can also create datasets. The Python requests library is a beautiful piece of work that allows you to take data from different websites with a line of code. It simplifies HTTP requests into a line of code. You’ll be able to take data from Wikipedia tables, and once you’ve organized the data you get with beautifulsoup, you’ll be able to analyze them in-depth. You can get any kind of data with Python. If you’re ever stuck, google Python and the dataset you’re looking for to get a solution. Also know about Python vs R and its Benefits. http://thenextweb.com/dd/2016/04/08/start-using-python-andor-r-data-science-one-best/#gref Thus, advanced analytics and Machine Learning skills are high on any industry leader’s list of wanted skills when looking for a Data Scientist to hire. The future business environment will also expect more speed of execution with Data Science projects, so future Data Scientists will not only be expected to have traditional math, statistics, and Machine Learning skills, but also sound knowledge of and experience in using data productivity tools, such as those to automate data cleaning or data modeling.
Views: 3006 Google Trends
Data Science vs Big Data vs Data Analytics | Simplilearn
 
01:40
Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012. An article by Forbes states that Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Which makes it extremely important to at least know the basics of the field. After all, here is where our future lies. In this video, we will differentiate between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field. For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 163028 Simplilearn
CAREERS IN ZOOLOGY – B.Sc,M.Sc,Zoologists,Job Openings, Research,Salary package
 
04:51
CAREERS IN ZOOLOGY.Go through the career opportunities of ZOOLOGY, Govt jobs and Employment News channel from Freshersworld.com – The No.1 job portal for freshers in India. Visit http://www.freshersworld.com for detailed Career information,Job openings,Education details of ZOOLOGY. There’s no doubt one of the upcoming careers in India and the prospect of great job opportunities makes it worthy to seek a career in this field Zoology is a branch of biology which is involved in scientific study of animals, including protozoa, fish, reptiles, mammals and birds. In other words, Zoology is a branch of science which deals with study of animals and their existence in the environment. Zoology comprises topics for study, like structure & anatomy, characteristics, behavioural pattern, nutrition, distribution, physiology, genetics, evolution, classification etc. of zoological species (animals). Zoology includes study of household pets, marine animals, zoo animals, wild animals etc. The professionals who study this field are called as Zoologists. Since Zoology is a branch of biology related to animal kingdom, Zoologists are also called as animal biologists or animal scientists. The branch of zoology specialising in study of birds is called as ornithology, specialising in study of fish and their habitats is known as Icthylogy or Fisheries. The branch of Zoology which studies amphibians and reptiles is called as Herpetology and which is involved in studying mammals, is called as Mammalogy. An aspirant of Zoology can get a job either as an academician or on project basis in research. A Zoologist not only works in a zoo but in a natural habitat too. His job includes preparing various reports on traits and behavioural aspects of animals and managing them. A zoologist works in the field as well as in a laboratory. Other jobs include zookeeper, animal caretaker, veterinary technician/technologist, research assistant, laboratory technician etc. A school teaching job for science subject along with other essential qualifications like B.Ed or D. Ed could be an option too. Educational qualification in Zoology includes Bachelor in Science (B.Sc.), Master in Science (M. Sc.) and Doctorate degree (Ph.D). Most of the universities and colleges in India of various states having courses in fundamental biology, provide courses in Zoology too. Foreign universities also provide similar degree of education in zoology. In case of job, it is always good to have higher level education for better understanding, greater responsibility and more salary. For those who want to make their career in research, a master’s degree or doctorate degree is must. For any job in zoology, apart from educational qualifications, other skills like critical thinking, problem solving attitude, ability to deal in bad weathers, active learning, quick decision making, etc are also useful. Computer skills like data analysis, knowledge of MS office particularly MS Excel (for data mining), MS word for report making is must. Last but not the least, love for animals and curiosity for science is very essential for those who want to make their career in Zoology. In Industry, Zoologists can be hired by companies working closely with animals like manufacturing veterinary products. Salary depends upon various factors like educational qualification, location of job, form of job etc. However, on an average a zoologist should earn not less than 3.5 lakhs per year. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Job Roles For DATA ENTRY OPERATOR – Entry Level,DataBase,Arts,Science,WPM, Data Management
 
04:35
Job Roles For DATA ENTRY OPERATOR : Know more about job roles and responsibility in DATA ENTRY . Coming to DATA ENTRY OPERATOR opportunities for freshers in India,Visit http://www.freshersworld.com?src=Youtube for detailed information,Job Opportunities,Education details and Career growth of DATA ENTRY OPERATOR. No matter what your educational background is, data entry operator jobs are available for all fresh candidates. People usually do not seek this position thinking that this is a low-level job. As a matter of fact, it is not lower than any other entry level position in corporate world. The main job of a data entry operator is to update, add and maintain data in a system or managing databases. The data entry operator is expected to insert or add data related to the company (both text and numerical) from a source file provided by the company. The candidate should also verify and sort the information as per given instruction. Other operational work includes generating routine reports and filing documents related to their work. Mostly, freshers with bachelor degree in arts and science are sought for this position. Even diploma candidates are opted for this position by many companies. Usually, candidates with professional degree, master degree or doctorate would not be sought for this position. The basic requirements are a) Knowledge and savvy in computer operation b) Expertise in MS-Office and other related software c) High typing speed – minimum market requirement is 40 WPM with 95% accuracy. d) Basic communication skills in English Usually, the candidates with good computer skill would be sought without regards to their educational background. Rotational shifts are rare and both male and female are sought. This job is also available in working-from-home option in some companies. There are short terms courses with certification for data entry offered by many institutions. Though it is not an essential certification, it would give a competitive edge over other candidates. Those who have working knowledge of Tally are sought for accountancy related data entry with a slightly higher pay. The same goes for those with commerce related educational background. With an increase in growth of BPO industry in India, there is a very high demand for data entry specialists. With one to three years experience in data entry, one can apply for jobs related to data management, document imaging, data mining, data processing and other related fields. If you want to grow in the same field, with three or more years of experience in data entry job, you can apply for senior data entry position or data analyzer positions. With more experience, you can apply for managerial positions like transaction processor, document processor and many others. Your scope is not restricted to back office operations. Candidates with a few years of experience in data entry can take up operational related jobs in KPO and customer service department. Yet, they would be considered as fresher in the new department. This job is for those who do not have a fancy degree and yet, want to take up corporate job. With this job, entry into corporate world becomes easy for all kinds of candidates. The academic excellence is not an important qualification for this job. Thus, candidates with backlog and those with moderate communication skill can apply for this position if, their typing skill is excellent. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Using Machine Learning for Predicting NFL Games | Data Dialogs 2016
 
37:16
You are a HUGE football fan. Every week you pick winners in an NFL pick-em' league. Somehow, all that fan experience doesn't translate into consistently winning your league. Perhaps you need a more systematic approach that takes some of the emotion out of it. Where to start? Betting spreads provide a consistent and robust mechanism for encapsulating the variables and predicting outcomes of NFL games. In a weekly confidence pool, spreads also perform very well as opposed to intuition-based guessing and "knowledge" from years of being a fan. Can we do better? In this talk, we will discuss an approach to use machine learning algorithms to make improvements on the spread method of ranking winners on a weekly basis as an exercise in winning your friendly neighborhood confidence pool. https://datadialogs.ischool.berkeley.edu/2016/schedule/using-machine-learning-predicting-nfl-games . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Amit Bhattacharyya Senior Data Scientist Teachers Pay Teachers Amit is the Senior Data Scientist at Teachers Pay Teachers, an online marketplace for teachers to buy, sell and share original educational resources. At TpT, Amit works on developing both technical and modeling infrastructure to analyze customer behavior and ways to more effectively connect buyers and sellers. Amit also teaches in the MIDS program at the UC Berkeley School of Information. He received a Ph.D. in physics from Indiana Universtiy. Previously, he did a two-year stint in advertising, and worked as a quantitative analyst at various banks and hedge funds for twelve years. In his spare time, he likes to plan skiing and backpacking trips, and dabble with machine learning algorithms for fantasy football.
DATA Scientist  SYDNEY
 
01:46
Looking to build DATA mining capability within a startup environment and backing & support from Singtel/Optus group? Apply Now: https://www.seek.com.au/job/33097449
Views: 2431 VideoMyJob
Economics Undergrad to Data Scientist: Patrick Wong of Glassdoor
 
25:07
Patrick Wong shares his origin story of becoming a Data Scientist at Glassdoor. We cover: - Patrick’s path from economics undergrad at UC Santa Cruz to working with Glassdoor’s novel labor market data - how Patrick learned programming in preparation for his first data science role - some juicy stats about the job market (circa Fall 2017) For a full text transcript of today's Accidental Engineer show: https://theaccidentalengineer.com/economics-data-science-patrick-wong-glassdoor/
Big Data and Data Science Career in Pakistan
 
02:18
See the opportunities in big data and data science for Pakistani students and professionals
Views: 503 Data Science Studio
Introduction to Data Science with R - Data Analysis Part 1
 
01:21:50
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 907080 David Langer
Big Data Analytics track vs Data Science / machine learning tutorial track - practically
 
19:38
In this tutorial, you will learn about • What is the content of big data track vs data science track • Salary and effort trends - 2:38 minute • Explanation of some term you learn in big data tracks (4:03 minute) like o Map reduce o Zoo keeper o HDFS o Name node o Flume / Scoop o Hive / Pig o R Hadoop / Mahaout • Explanation of some term you learn in data science tracks (8:00 minute) like o Usage of SAS / R / Python – and how you should learn it o Curriculum for basic statistics and how you should learn it o Supervised learning : predictive modelling –  Classification tree  Regression Tree  Logistic Regression o Unsupervised learning – cluster analysis (k-means) • Three kind of curriculum for machine learning (13:56 minute) o Mathematical o Overview (industrial set up) o In depth (industrial set up) • Time required for the curriculum (18:23 minute) My online course links -------------------------- Learn R programming https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01 Statistics by simulation https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01 Logistic Regression https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01 PCA and Factor Analysis https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01 decision tree - CHAID - CART - Random Forest https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01 Cluster analysis https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB Neural Network https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN
Views: 6423 Gopal Malakar
Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial
 
22:01
Python data analysis / data science tutorial. Let’s go! For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata Sample data and sample code: https://www.csdojo.io/data My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8 Also, keep in touch on Twitter: https://twitter.com/ykdojo And Facebook: https://www.facebook.com/entercsdojo Outline - check the comment section for a clickable version: 0:37: Why data visualization? 1:05: Why Python? 1:39: Why Matplotlib? 2:23: Installing Jupyter through Anaconda 3:20: Launching Jupyter 3:41: DEMO begins: create a folder and download data 4:27: Create a new Jupyter Notebook file 5:09: Importing libraries 6:04: Simple examples of how to use Matplotlib / Pyplot 7:21: Plotting multiple lines 8:46: Importing data from a CSV file 10:46: Plotting data you’ve imported 13:19: Using a third argument in the plot() function 13:42: A real analysis with a real data set - loading data 14:49: Isolating the data for the U.S. and China 16:29: Plotting US and China’s population growth 18:22: Comparing relative growths instead of the absolute amount 21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata
Views: 174265 CS Dojo
How Much Money Data Scientists Make ?
 
17:09
Data Science combined STatistics, Machine Learning, Maths & Programming. While it is a buzzword and trendy as most say, there is something real in it. The salary varies and depends largely on the dmain one works with, the skills one has and the experience level. Watch the video for deeper understanding ANalytics Study Pack : https://analyticuniversity.com Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 480 Big Edu
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Bayes in R | Edureka
 
01:04:06
( Data Science Training - https://www.edureka.co/data-science ) This Naive Bayes Tutorial video from Edureka will help you understand all the concepts of Naive Bayes classifier, use cases and how it can be used in the industry. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science and Machine Learning through Naive Bayes. Below are the topics covered in this tutorial: 1. What is Machine Learning? 2. Introduction to Classification 3. Classification Algorithms 4. What is Naive Bayes? 5. Use Cases of Naive Bayes 6. Demo – Employee Salary Prediction in R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #NaiveBayes #NaiveBayesTutorial #DataScienceTraining #Datascience #Edureka How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best."
Views: 43435 edureka!
Difference Between Data Analyst and Data scientist | TamilboomiSpeaks #2
 
06:53
Difference between data science and data analyst who is data scientist? Who is Data Analyst?
25 of the Hottest Professional Skills for 2016 ( LinkedIn)
 
01:15
Hottest 25 professional skills in 2016. Information credit: LinkedIn Read full article: https://ecoursereview.com/best-udemy-courses 1 Cloud and Distributed Computing 2 Statistical Analysis and Data Mining 3 Marketing Campaign Management 4 SEO/SEM Marketing 5 Middleware and Integration Software 6 Mobile Development 7 Network and Information Security 8 Storage Systems and Management 9 Web Architecture and Management 10 User Interface Design 11 Data Engineering and Data Warehousing 12 Algorithm Design 13 Perl/Python/Ruby 14 Shell Scripting Languages 15 Mac, Linux and Unix Systems 16 Channel Marketing 17 Visualization 18 Business Intelligence 19 Java Development 20 Electronic and Electrical Engineering 21 Database Management and Software 22 Software Modeling and Process Design 23 Software QA and User Testing 24 Economics 25 Corporate Law and Governance source: http://blog.linkedin.com/2016/01/12/the-25-skills-that-can-get-you-hired-in-2016/ --- When contemplating your career path it can be highly beneficial to know what your options are, such as the top jobs that are available. Many applicants start their search by taking salaries applicable and career prospects into account. The leading job review website, Glassdoor, recently published their report titled '25 Best Jobs in America for 2016'. Each occupation was given a Glassdoor Job Score and was ranked accordingly: this score was reached by combining three key factors; namely, number of job openings, salary offered, and career opportunities rating. 1. Data Scientist 2. Tax Manager 3. Solutions Architect 4. Engagement Manager 5. Mobile Developer 6. HR Manager 7. Physician Assistant 8. Product Manager 9. Software Engineer 10. Audit Manager 11. Analytics Manager 12. Software Development Manager 13. Product Maketing Manager 14. Marketing Manager 15. QA Manager 16. Finance Manager 17. Business Development Manager 18. UX Designer 19. Strategy Manager 20. Technical Account Manager 21. Consultant 22. Construction Superintendent 23. Nurse Practitioner 24. Electrical Engineer 25. Software Architect Source: https://www.glassdoor.com/Best-Jobs-in-America-LST_KQ0,20.htm --- U.S. News's 100 best jobs in 2016 delivered below are generally ranked based on their particular mixture of qualities. The overall score is calculated from seven component measures, and for each measure, jobs receive a score between 0 and 10. Here are the component measures and their weights in computing the overall score: Median Salary (30 percent) Employment Rate (20 percent) 10-Year Growth Volume (15 percent) 10-Year Growth Percentage (15 percent) Job Prospects (10 percent) Stress Level (5 percent) Work-Life Balance (5 percent) 1. Orthodontist 2. Dentist 3. Computer Systems Analyst 4. Nurse Anesthetist 5. Physician Assistant 6. Nurse Practitioner 7. Psychiatrist 8. Pediatrician 9. Anesthesiologist 10. Obstetrician and Gynecologist 11. Oral and Maxillofacial Surgeon 12. Optometrist 13. Software Developer 14. Physical Therapist 15. Podiatrist 16. Surgeon 18. Operations Research Analyst 19. Physician 20. Web Developer source: http://money.usnews.com/careers/best-jobs/rankings/the-100-best-jobs --- https://www.youtube.com/watch?v=vdwQZTdeT9Y --- Follow us on Facebook: https://www.facebook.com/EcourseReviews Twitter: https://twitter.com/EcourseReviews G+: https://plus.google.com/+Ecoursereview/posts Website: https://ecoursereview.com/
Views: 2023 Ecourse Review
What Is Data Science? Data Science Course - Data Science Tutorial For Beginners | Edureka
 
01:03:05
( Data Science Training - https://www.edureka.co/data-science ) This Edureka Data Science course video (Data Science Blog Series: https://goo.gl/yGjZfs) will take you through the need of data science, what is data science, data science use cases for business, BI vs data science, data analytics tools, data science lifecycle along with a demo. This Data Science tutorial video is ideal for beginners to learn data science and machine learning basics. You can read the blog here: https://goo.gl/lYb5Lb Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 186526 edureka!
Getting Hired as Data Scientist | Making a Career in Data Science | Ullas Nambiar | Great Learning
 
14:35
#CareerInDataScience | Know about what companies are looking for while hiring data scientist for data mining roles. Learn more about the job roles of a data scientist and why companies are setting up data science teams. Ullas Nambiar, VP-Technology & Head - Zenlabs, Zensar Technologies, shares his views on Data Science in this webinar jointly organized by Great Learning and Zensar Technologies. Ullas talks about the following: - The Art of Data Science - What a Data Scientist Does - What makes a good Data Scientist or a Data Science Team - Why are companies setting up Data Science Teams - How long does it take to become a Data Scientist Previously, Ullas was AVP of Data Science at Myntra, Head of Analytics at EMC and a Scientist at IBM Research. Ullas has over 15 years of experience in Technology Innovation and earned a Ph.D. in Computer Science from Arizona State University. Learn more about our analytics programs: PGP-Business Analytics: https://goo.gl/bMyueN PGP-Big Data Analytics: https://goo.gl/UoxJ1H Business Analytics Certificate Program: https://goo.gl/LXCytz #DataScience #DataMining #GreatLakes #GreatLearning About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 856 Great Learning
How to start a Business Analytics Career in India ? - Skills required, Pay scale, Job opportunities
 
03:40
Get the latest interview tips,Job notifications,top MNC openings,placement papers and many more only at Freshersworld.com(www.freshersworld.com?src=Youtube). The major role of a BA is – data mining, statistical analysis, predictive modelling and multivariate test. Business Analytics career in India has emerged as the preferred role of choice in IT and ITES industries. The Business Analyst is also required to support decision making roles with real-time analysis. Business Analysts also work closely with the senior management and provide support in data-driven decision making that impacts matters related to product development to marketing. There is a continued strong demand for business analysts especially in India where candidates can land opportunities in IT and ITES industries. According to one article, India has at least 1.2 million business analysts and by 2020 India is pegged to have the highest number of business analysts. Some of the major sectors where Business Analysts have a promising start are retail, banking, healthcare, ecommerce, hospitality, manufacturing etc. Kick-start a Business Analytics career in India One of the most promising career paths in IT today, the job description for business analysts sometimes converge analytics and project management roles. If you are interested in a Business Analyst role, a background in mathematics and engineering is a must, backed by good analytical and communication skills. However, there are those who believe candidates with a business background can also make a career in BA. By upskilling themselves with short online courses, these candidates can also get a good grip on business analytics and start a career. Skills required by Business Analytics candidate: A Business Analyst should be proficient in applied statistics, have knowledge of statistical suite such as SAS, R, SPSS, should know SQL, Hive, knowledge of testibg framework and a working knowledge of BI tools such as Qlik, Tableau, Spot fire among others. Skills may vary depending on the organization’s requirement. However, this is a basic knowledge framework required for making the cut. How can candidates with a business background start a Business Analytics career? While most engineers gravitate towards the data engineering and information management field, candidates with a business background can easily transition into the Business Analyst role. MBA holders can sharpen their skills by a) enrolling in analytics courses, b) participating in mentoring sessions and boot camps to lands their dream job. And though companies don’t expect deep knowledge of tools, a basic understanding can help in landing the right job. Job opportunities for Business Analysts: From leading financial institutions, to consultancies such as Deloitte, E&Y, and global retailers Target, Walmart and online leader Amazon require Business Analytics professionals. Top Employers: Some of the top Business Analytics companies to work for are: • Tata Consultancy Services • Cognizant • Accenture • GENPACT • Wipro • Infosys • IBM • Deloitte • HPE Some of the startups that provide an excellent opportunity to pursue Business Analytics career are Fractal Analytics, Mu Sigma Analytics and Absolut Data. Pay scale: One of the most sought after jobs, business analysts have a rare blend of business and analytical skills and are rewarded with good pay packages. The average salary of senior business analyst is INR 8,59,025 per year. The average salary of BA is INR 6,44,857 per year. Download our app today to manage recruitment whenever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Data Analyst Salary
 
00:30
http://salarydetails.com/data-analyst-salary This data analyst salary overview gives viewers the chance to find out if this type of vocation is suitable for them. Individuals will find the salary range, the educative specifications and job duties determined by his or her degree of experience inside the work.
Views: 1533 Salary Details
Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
 
06:40
Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 20300 Well Academy
Data Science Tutorial | What is Data Science? | Data Science For Beginners | Edureka
 
53:19
** Data Science Certification using R: https://www.edureka.co/data-science ** In this video on Data Science Tutorial, you’ll get an in-depth understanding of Data Science and you’ll also learn how it is used in the real world to solve data-driven problems. I’ll be covering the following topics in this session: (01:50) Need for Data Science (07:12) Walmart Use case (10:46) What is Data Science? (12:02) Who is a Data Scientist? (14:13) Data Science – Skill set (19:21) Data Science Job roles (24:21) Data Life cycle (27:53) Introduction to Machine Learning (32:53) K- Means Use case (35:24) K- Means Algorithm (39:18) Hands-On (50:05) Data Science certification Blog Series: http://bit.ly/data-science-blogs Data Science Training Playlist: http://bit.ly/data-science-playlist - - - - - - - - - - - - - - - - - Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - - - - #datascience #datasciencetutorial #datasciencewithr #datasciencecourse #datascienceforbeginners #datasciencetraining #datasciencetutorial - - - - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyze Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyze data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies. For online Data Science training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
Views: 2888 edureka!
Data Science Training | Introduction to Data Science | Data Science Certification | Edureka
 
01:23:56
** Data Science Master's Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka "Data Science Training" video (Data Science Blog Series: https://goo.gl/1CKTyN) will help you understand all the concepts of Data Science. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial: 1. What is Data Science? 2. Job Roles in Data Science 3. Components of Data Science 4. Concepts of Statistics 5. Power of Data Visualization 6. Introduction to Machine Learning using R 7. Supervised & Unsupervised Learning 8. Classification, Clustering & Recommenders 9. Text Mining & Time Series 10. Deep Learning Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #Datasciencetraining #Datasciencetutorial #Datasciencecourse #Datascience #Edureka - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 11303 edureka!
Introduction - Learn Python for Data Science #1
 
06:55
Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code. Please subscribe & share this video if you liked it! The code for this video is here: https://github.com/llSourcell/gender_classification_challenge I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Download Python here: https://www.python.org/downloads/ Download Sublime Text here: https://www.sublimetext.com/3 Some Great simple sci-kit learn examples here: https://github.com/chribsen/simple-machine-learning-examples and the official scikit website: http://scikit-learn.org/ Highly recommend this online book as supplementary reading material: https://learnpythonthehardway.org/book/ Wondering when to use which model? This chart helps, but keep in mind deep neural nets outperform pretty much any model given enough data and computing power. so use these when you don't have access to loads of data and compute: http://scikit-learn.org/stable/tutorial/machine_learning_map/ Thank you guys for watching! Subscribe, like, and comment! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 460522 Siraj Raval
CAREERS IN CHEMISTRY– Degree,Healthcare Scientist,Engineering firms,Laboratory Jobs
 
05:01
CAREERS IN CHEMISTRY.Go through the career opportunities of CHEMISTRY, Govt jobs and Employment News channel from Freshersworld.com – The No.1 job portal for freshers in India. Visit http://www.freshersworld.com?src=Youtube for detailed Career information,Job Opportunities,Education details of CHEMISTRY. Chemistry as a subject provides insight about topics of concern that deal with the composition, properties, structure and most importantly, change of matter. When you first listen to the word chemistry, all you can think of is molecules and matters and structures. Chemistry as a subject paves way for much more than any of these mentioned. There is a major assumption that 'All chemists wear white coats'. In fact, it is the other way round! Here is a list of jobs that a student can attain to after having his/ her chemistry degree in hand: • Healthcare scientist, clinical biochemistry • Forensic scientist • Pharmacologist • Analytical chemist • Research scientist (physical sciences) • Toxicologist • Chemical engineer Also, there are a few options wherein this degree could be used in a more specific way: • Science writer • Higher education lecturer • Patent attorney • Chartered certified accountant • Environmental consultant • Secondary school teacher The skills which are absolutely required for a student having a chemistry degree in hand is to whilst bagging a job in need are: • analysis and problem-solving; • research skills • technical skills • quantitative skills • organizational skills • time management and organization; • written and oral communication; • monitoring/maintaining records and data; • teamwork; • IT and technology. Here is a list to as in who all employs chemistry graduates that would rather provide an insight to the career as such: • Consulting firms • Pharmaceutical companies • Museums • Engineering firms • Industrial inspection firms • Magazines and newspapers Cosmetics and fragrance production companies • Computers and telecommunications Government agencies • Fine and heavy chemical manufacturing companies • Food and beverage production companies • Mining and metallurgy companies • Law Firms • Oil and gas companies • Plastic manufacturing companies • Universities, colleges and schools • Hospitals & other medical organizations • Pulp and paper companies • Environment and pollution control firms Here is a list of colleges mastering in chemistry: Osmania PG College, Kurnool M S R S Siddardha Degree College Gayatri College of Science & Management Government Degree College (Men) Ramakrishna Mission Vivekananda College J & J College of Science Sheth L H Science College M G Science Institute Bhavan's R A College of Science Sir C R Reddy Autonomous College NIT Silchar NIT Surathkal NIT Rourkela NIT Jalandhar NIT Durgapur NIT Agartala Meenakshi College for Women Ethiraj College for Women Sri Venkateswara College St. Stephen’s College Hans Raj College Ramjas College Miranda House College Gargi College BITS Pilani MNIT Jaipur IIT Kharagpur IIT Bombay IIT Delhi IIT Guwahati IIT Kanpur IIT Madras NIT Warangal NIT Trichy KMC Delhi Acharya Narendra Dev College ISM Dhanbad IIT Roorkee There are thousands of ways in getting into a chemistry job. All you need to do is have patience and focus on the right direction. Patience and perseverance are the two roads to success, especially in chemistry. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Data Science in 30 Minutes: Predicting Content Demand with Machine Learning
 
47:36
Netflix is well-known for its data-driven recommendations that seek to customize the user experience for every subscriber. But data science at Netflix extends far beyond that - from optimizing streaming and content caching to informing decisions about the TV shows and films available on the service. The talk covered work done by Becky and the Content Data Science team at Netflix, which seeks to evaluate where Netflix should spend their next content dollar using machine learning and predictive models. The Data Incubator is a data science education company based in NYC, DC, and SF with both corporate training as well as recruiting services. For data science corporate training, we offer customized, in-house corporate training solutions in data and analytics. For data science hiring, we run a free 8 week fellowship training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for Fellows. Hiring companies (including EBay, Capital One, Pfizer) pay a recruiting fee only if they successfully hire. You can read about us on Harvard Business Review, VentureBeat, or The Next Web, or read about our alumni at LinkedIn, Palantir or the NYTimes. http://thedataincubator.com About the speakers: Dr. Becky Tucker is a Senior Data Scientist at Netflix, a streaming media and entertainment company based in Los Gatos, CA. She holds a PhD in Physics from Caltech. At Netflix, Becky works on models that predict the demand for TV shows and movies. Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners. Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves. Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.
Views: 14468 The Data Incubator