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: 8289 ACADGILD
Details about Data Science ;- https://www.youtube.com/watch?v=zOY7RtmMRJQ Top colleges in India :- https://youtu.be/h0GyoPf9aLg
Views: 22672 MeriTech Education
In this video I will show you the salary of a data analyst, how to become a data analyst and what a data analyst does. So lets jump in and learn how much does a data analyst make per year. ► Click below for the best online courses for Data Analysts on Edureka... BEST ONLINE TUTORIALS ► Big Data Masters Certification from Edureka ( http://bit.ly/2yCbsac ) ► Full Playlist Explaining Data Analytics ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► http://jobsinthefuture.com/index.php/2017/10/21/data-analyst-salary-and-how-to-become-a-data-analyst/ Questions Answered: - What does a data analyst do? - What is a data analyst? - How much does a data analyst make? - Is a data analyst different from a data scientist? - what is the average salary of a data analyst? - How much money do data analysts make? - How to become a data analyst? - Best online courses to become a data analyst. - What is a data analyst Job description? You can quickly become a Data Analyst with these online tutorials and courses and then go on to earn a great salary in the big data industry! What is a Data Analytics?... A Data Analyst is very important in the world of data science. They are in charge of collecting, organizing, and and obtaining statistical information from a large amount of data sets (Data sets are very large pools of data that must be searched in order to find the data that is relevant to a specific study). They are also the ones responsible for formulating all of their findings into an accurate report of powerpoint presentation to give to their client or internal team. Core Skills: Strong Understanding of Hadoop Based Analytics (Program to help extract data from large data sets and the analyze the data) Familiar with data analytics in a business setting Must have data storing a retrieval skills Proficiency in decision making Have the ability to transform data into understandable presentation Data Analytics: qualitative and quantitative pulling of data for business development. business to consumer relationship gaining information via: customers, economics, culture, publicity/news and then infuses all of this information to develop a strategy for business development. Projected Average Income of a Data Analyst: $55k Supportive Skills: Critical Thinking and Creative Strategy Analysis Skills in Data Analytics technology Ability to do deep research Confident to present formulated information to clients and executives Become an expert at understand the infrastructure of deep data's inner workings ------- 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: 10274 Ben G Kaiser
How can Canada excel in big data? This animated video considers how Canada’s primary industries — mining, energy, forestry and agriculture — can foster economic growth in Canada’s data-driven economy. Primary industries have invested more than $50 billion in “simple” sensors installed in machinery across the country. While these sensors are important to the operation of the machinery, they do not provide robust data sets for machine learning analysis. With quality data, Canadians could discover new opportunities to lower costs, reduce environmental impacts — including waste, emissions and land disturbances — and improve overall performance. Providing quality sensor data to start-ups and big data entrepreneurs through a national open-source library could enable the next generation of Canadians to develop large-scale, big data-based businesses poised to unlock the next “big idea” for Canada.
Views: 12624 Centre for International Governance Innovation
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: 78184 Praveen Dilliwala
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!!
Views: 2375 Brain Checker Techno Services
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification ** ** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka video on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this video: 1:05 - Who is data analyst, data engineer and data scientist? 2:32 - Roadmap 3:48 - Required skill-sets 5:34 - Roles and Responsibilities 7:16 - Salary Perspective ------------------------------------- Data Science Training Playlist: https://goo.gl/Jg1pJJ Blog Series: https://goo.gl/H2pf8V Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 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 #dataanalystvsdataengineervsdatascientist #DataScience #DataScienceCertificationTraining ------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Data Science Training and Certification, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
Views: 33418 edureka!
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: 56512 World Top Best
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: 29255 THE MIND HEALING
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
Views: 47925 Freshersworld.com Jobs & Careers
If you have dreams to work aborad, 2018 is the right time. This video tells you the list of top 10 Jobs for Indians in Canada with their salaries. And why only Indians, it is for anybody who wishes to immigrate to Canada and looking for job prospects here. Video guide for the Express Entry Step by Step Process: https://youtu.be/g_Zq_fnkc08 How much money would it cost you to apply Canada PR: https://youtu.be/IBB0pVgfuTo 10 most important benefits of Candian PR: https://youtu.be/P8mtkE6kpwk What is Permanent Residency: https://youtu.be/Blzm19eV6wg -~-~~-~~~-~~-~- Video guide to the Step by Step Process for Canada PR ( Express Entry 2018)" https://www.youtube.com/watch?v=g_Zq_fnkc08 -~-~~-~~~-~~-~-
Views: 734833 Dream Abroad
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: 599 Ben G Kaiser
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: 24571 MJ the Fellow Actuary
Views: 834400 eaZyTips
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: 608 Big Edu
Check out my latest Video: https://www.youtube.com/watch?v=VCrrLdxEXtA Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018. Why Big Data Analytics is the Best Career Path? Hello guys my name is Daniel and you are watching beginner tuts and in this video, we are going to talk about why big data analytics is the best career path? If you’re looking for an amazing career option in information technology and don’t know anything about this industry, then this video can help you become a big data analytics engineer. The Average salary of a big data engineer is 100,000 annually… That’s right guys. 100 grand a year. Now you must be wondering, what the heck is big data?? Big data is a term for data sets that are so large or complex that traditional data processing application software is too weak to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. The Great White is considered to be the King of the Ocean. This is because the great White is on top of its game. Imagine if you could be on top of the game in the ocean of Big Data! Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there. . Why Big Data Analytics is the Best Career move? If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 5 more reasons for you to see the big picture. 1. Soaring Demand for Analytics Professionals: Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training. The job trend graph for Big Data Analytics, from Indeed.com, proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities. The current demand for qualified data professionals is just the beginning. Srikanth, the Bangalore-based cofounder and CEO of CA headquartered Fractal Analytics states: “In the next few years, the size of the analytics market will evolve to at least one-thirds of the global IT market from the current one-tenths”. Technology professionals who are experienced in Analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. The number of job postings related to Analytics in Indeed and Dice has increased substantially over the last 12 months. Other job sites are showing similar patterns as well. This apparent surge is due to the increased number of organizations implementing Analytics and thereby looking for Analytics professionals. In a study by QuinStreet Inc., it was found that the trend of implementing Big Data Analytics is zooming and is considered to be a high priority among U.S. businesses. A majority of the organizations are in the process of implementing it or actively planning to add this feature within the next two years. 2. Huge Job Opportunities & Meeting the Skill Gap: The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018. According to Srikanth, co-founder and CEO of Fractal Analytics, there are two types of talent deficits: Data Scientists, who can perform analytics and Analytics Consultant, who can understand and use data. The talent supply for these job title, especially Data Scientists is extremely scarce and the demand is huge. 3. Salary Aspects: Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.
Views: 27030 Beginner Tuts
Transitioning to the field of Data Analytics may not sound easy to do - given the nature of the career and how highly technical the domain is. But we bring to you a plan that will make the transition as smooth as possible. 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.
Views: 2584 STUDENT WINDOW
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: 1955840 GoAbroad
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]
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Dr. Goutam Chakraborty, professor, Oklahoma State University gives his take on the difference between data science and analytics. He also shares skills you need to get into both of these high-demand careers. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 53739 SAS Software
Современные организации собирают информацию об огромном количестве событий: все действия людей, машин и самой организации записываются. Поэтому в этой сфере так востребована наука о сборе и анализе данных. Но главная задача состоит не в том, чтобы собрать как можно больше информации, а в том, чтобы извлечь из неё то, что поможет оптимизировать бизнес-процессы. Глубинный анализ процессов (Process mining) позволяет исследовать и усовершенствовать бизнес-процессы в организациях и помогает им эффективнее и экономичнее осуществлять свою деятельность. На семинаре вы узнаете подробности использования этого метода от одного из крупнейших специалистов в этой области — Вила Ван Дер Аалста.
Views: 11271 Компьютерные науки
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.
Views: 235329 Freshersworld.com Jobs & Careers
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: 33390 ACADGILD
For More information Please visit https://www.appliedaicourse.com
Views: 263510 Applied AI Course
What Programming Language Should Programmers Learn In 2019? 💻 👉🏻https://www.youtube.com/watch?v=CwaSHqAWPUU 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: 19016 Bulldog Mindset
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
This Data Science tutorial video will give you an idea on the life of a Data Scientist, steps involved in Data science project, roles & salary offered to a Data Scientist. 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. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and analysis. In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data. Now, let us get started and understand what is Data Science all about. Below topics are explained in this Data Science tutorial: 1. Life of a Data Scientist 2. Steps in Data Science project - Understanding the business problem - Data acquisition - Data preparation - Exploratory data analysis - Data modeling - Visualization and communication - Deploy & maintenance 3. Roles offered to a Data Scientist 4. Salary of a Data Scientist To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to: 1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries 2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions 3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave 4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package 5. Gain expertise in machine learning using the Scikit-Learn package The Data Science with python is recommended for: 1. Analytics professionals who want to work with Python 2. Software professionals looking to get into the field of analytics 3. IT professionals interested in pursuing a career in analytics 4. Graduates looking to build a career in analytics and data science 5. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=What-is-Data-Science-X3paOmcrTjQ&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn’s courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simp... - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 306541 Simplilearn
link: https://courses.learncodeonline.in/learn/Machine-Learning-Bootcamp Machine Learning and Data Science Companies like Facebook, Google and Amazon have got a lot of data about us. Even the small companies have got a lot of data like signup information, number of logins, Product purchase, products that we are looking for. All this data can be processed and can give any company a boost in productivity and increase in sale. That is why machine learning is growing so fast. Companies can offer amazing features like quick replies that are context based in Gmail, Uber driver arrival time or time to reach at the destination via Google maps, self-driving cars etc. This is just a start of machine learning and power of data science. Welcome to data science and machine learning course! One of the best online resource to understand and implement Machine learning and data science concepts. Usually people thinks that data science can only be learn by Ph.D but that not true, anyone can learn data science and machine learning. Desktop: https://amzn.to/2GZ0C46 Laptop that I use: https://amzn.to/2Goui9Q Wallpaper: https://imgur.com/a/FYHfk Facebook: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com Download LearnCodeOnline.in app from Google play store and Apple App store
Views: 103236 Hitesh Choudhary
On it's first year, Data Science Meetup Dubai was held at Awok.com main office in Mazaya Towers, Jumeirah Lakes Towers. Data Science Meetup is the gathering of data science professionals and even to those IT professionals who would like to learn and share the new trends in data science, machine learning theory, as well as application methods for solving real-life problems. It is organized around one simple idea: when we get together and do the things that matter to us, we’re at our best. And that’s what Meetup does. It brings people together to do, explore, teach and learn the things that help them come alive.
Views: 2468 AWOK.com
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: 189620 Simplilearn
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification *** This video debunks the Myths about Data Scientists Roles in India and Abroad. Data Science Being a new field has gained quite a good momentum and there are a few misconceptions about Data Scientists in People's mind which has been cleared in this video. Data Science Podcast: https://castbox.fm/channel/id1832236 Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 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 Slideshare: https://www.slideshare.net/EdurekaIN/ #edureka #edurekadatascience #datascientist #datascientistsmyths #top10datascientistmyths - - - - - - - - - - - - - - About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the end of the program, you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Views: 3249 edureka!
There are several data scientist archetypes: The Detective, a master of analysis, The Oracle, a master of modeling, The Maker, a master of engineering, and The Generalist, proficient at everything. post: https://brohrer.github.io/data_science_archetypes.html slides: https://docs.google.com/presentation/d/1HoGMJDCTaBXEN5QTULPWaeohpiCpXAqChNYRshAybbg/edit?usp=sharing Talk given at the 2018 Metis DemystifyDS online conference: https://www.thisismetis.com/demystifying-data-science Follow me for announcements and updates: https://twitter.com/_brohrer_
Views: 5108 Brandon Rohrer
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.
Views: 234768 Freshersworld.com Jobs & Careers
In this video I will discuss how to make successful career transition from SAS Programmer to SAS Analyst Watch all our free video on the gallery - http://analyticuniversity.com/ Contact - [email protected]
Views: 5519 Analytics University
data science training python videos, datacamp data science python, intro to python for data science course by datacamp, python data science course, python data science tutorial, python for data science book, python for data science pdf, python training videos, youtube python data science, What is data science In telugu - డేటా సైన్స్ అంటే ఏమిటి Download data science content Pdf https://goo.gl/JN6iGs http://www.sivaitsoft.com/data-science-online-training-kukatpally/ What is data science course? What is a data scientist? Who coined data science? What is big data analysis? Data Science course content vlrtraining 9059868766 Hyderabad https://goo.gl/JN6iGs DATA SCIENCE ONLINE TRAINING Data Science Online Training kukatpally Hyderabad provided by VLR Trainings. Data Science is that the study ofDATA SCIENCE Online training wherever data comes from, what it represents and the way it is became a valuable resource in the creation of business and IT ways. More info Wikipedia DATA SCIENTIST A data scientist is someone who is better at statistics than any software engineer and better at Software engineering than any statistician.” WHAT A DATA SCIENTIST DOES Most data scientists in the industry have advanced degrees and training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common for them to have previous experience in infrastructure design, cloud computing, and data warehousing. SKILLS REQUIRED TO BECOME A DATA SCIENTIST Statistic and probability Algorithms Programming Languages (Java, Scala ,SQL, R, Phyton) Data mining Machine learning Who should go for this course? Fresher’s/Graduates Job Seekers Managers Data analysts Business analysts Operators End users Developers IT professionals Data science Course Duration and details Course Duration 90Days (3 months) Course Fees 27000Rs Only online training Note* Everyday session recordings are also available Venkat: 9059868766 Jio:7013158918 Email: [email protected] Address: Vlrtraining/Sivaitsoft PlotNo 126/b,2nd floor,Street Number 4, Addagutta Society, Jal Vayu Vihar,, Kukatpally, Hyderabad, Telangana 500085 Map Link https://goo.gl/maps/Nk9LziFjVXS2 Data science Course Content data science, data science and analytics, data science certification, data science course, data science degree, data science online, data science pdf,, data science skills, data science syllabus, data science tools, data scientist profile, data scientist skills, introduction to data science, learn data science, mathematics for data science, python data science, science data, scientific database, Download Pdf Data Science course content vlrtraining 9059868766 Hyderabad http://www.sivaitsoft.com/wp-content/uploads/2017/10/Data-Science-course-content-vlrtraining-9059868766-Hyderabad.pdf
Views: 26408 VLR Training
In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is. The coding challenge for this video is here: https://github.com/llSourcell/twitter_sentiment_challenge Naresh's winning code from last episode: https://github.com/Naresh1318/GenderClassifier/blob/master/Run_Code.py Victor's Runner up code from last episode: https://github.com/Victor-Mazzei/ml-gender-python/blob/master/gender.py I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ More on TextBlob: https://textblob.readthedocs.io/en/dev/ Great info on Sentiment Analysis: https://www.quora.com/How-does-sentiment-analysis-work Great sentiment analysis api: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis Read over these course notes if you wanna become an NLP god: http://cs224d.stanford.edu/syllabus.html Best book to become a Python god: https://learnpythonthehardway.org/ Please share this video, like, comment and subscribe! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Two Minute Papers Link: https://www.youtube.com/playlist?list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e 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 Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 281429 Siraj Raval
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka video on "Data Science" provides an end to end, detailed and comprehensive knowledge on Data Science. This Data Science video will start with basics of Statistics and Probability and then move to Machine Learning and Finally end the journey with Deep Learning and AI. For Data-sets and Codes discussed in this video, drop a comment. This video will be covering the following topics: 1:23 Evolution of Data 2:14 What is Data Science? 3:02 Data Science Careers 3:36 Who is a Data Analyst 4:20 Who is a Data Scientist 5:14 Who is a Machine Learning Engineer 5:44 Salary Trends 6:37 Road Map 9:06 Data Analyst Skills 10:41 Data Scientist Skills 11:47 ML Engineer Skills 12:53 Data Science Peripherals 13:17 What is Data ? 15:23 Variables & Research 17:28 Population & Sampling 20:18 Measures of Center 20:29 Measures of Spread 21:28 Skewness 21:52 Confusion Matrix 22:56 Probability 25:12 What is Machine Learning? 25:45 Features of Machine Learning 26:22 How Machine Learning works? 27:11 Applications of Machine Learning 34:57 Machine Learning Market Trends 36:05 Machine Learning Life Cycle 39:01 Important Python Libraries 40:56 Types of Machine Learning 41:07 Supervised Learning 42:27 Unsupervised Learning 43:27 Reinforcement Learning 46:27 Supervised Learning Algorithms 48:01 Linear Regression 58:12 What is Logistic Regression? 1:01:22 What is Decision Tree? 1:11:10 What is Random Forest? 1:18:48 What is Naïve Bayes? 1:30:51 Unsupervised Learning Algorithms 1:31:55 What is Clustering? 1:34:02 Types of Clustering 1:35:00 What is K-Means Clustering? 1:47:31 Market Basket Analysis 1:48:35 Association Rule Mining 1:51:22 Apriori Algorithm 2:00:46 Reinforcement Learning Algorithms 2:03:22 Reward Maximization 2:06:35 Markov Decision Process 2:08:50 Q-Learning 2:18:19 Relationship Between AI and ML and DL 2:20:10 Limitations of Machine Learning 2:21:19 What is Deep Learning ? 2:22:04 Applications of Deep Learning 2:23:35 How Neuron Works? 2:24:17 Perceptron 2:25:12 Waits and Bias 2:25:36 Activation Functions 2:29:56 Perceptron Example 2:31:48 What is TensorFlow? 2:37:05 Perceptron Problems 2:38:15 Deep Neural Network 2:39:35 Training Network Weights 2:41:04 MNIST Data set 2:41:19 Creating a Neural Network 2:50:30 Data Science Course Masters Program Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS Machine Learning Podcast: https://castbox.fm/channel/id1832236 Instagram: https://www.instagram.com/edureka_learning Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #edureka #DataScienceEdureka #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience - - - - - - - - - - - - - - About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Views: 50641 edureka!
Difference between data science and data analyst who is data scientist? Who is Data Analyst?
Views: 3555 Tamilboomi - தமிழ்பூமி
This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist! Data Science FULL Course (Pay via Credit Card) 👉👉 http://bit.ly/2Iyzu0h Data Science FULL Course (Pay in your Local Currency)👉 http://bit.ly/2WKvD2g ======================================== #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning Watch this Data Science tutorial today to see how and why to start Learning to be a data scientist today! =============================================== Introduction to Data Science: 3:51- 01:25:00 3:51 Trainer Introduction: The Instructor Mr. Rajib Layek who is a Business Consultant and Senior data scientist having experience of 8+ years. 6:24 Course Curriculum Overview 29:05 Introduction to Data Science 42:37 Introduction to Business Analytics: practice using optimal business management decisions with the help of graphics and analytical tools 54:54 Introduction to Machine Learning: It helps computers to learn,act,response like humans and improve their learning from experience without being explicitly programmed. 01:07:00 How to switch your career into ML 01:22:00 Introduction To Data Scientist INTRODUCTION TO R 1:25:00 - 1:51:00 1:25:00 Introduction to R 1:40:00 How to set up R R Programming 1:51:00 - 2:46:00 1:51:00 R Operator 2:05:00 R Conditional Statement & Loop 2:17:00 Function in R R Data Structure 2:46:00 - 3:35:00 2:46:00 An Introduction of R Data Structure + Vector 2:57:00 Matrix, Array and Data Frame 3:11:00 A Deep Drive to R Data Frame 3:24:00 Factor 3:29:00 List Import and Export in R 3:35:00 - 4:07:00 3:35:00 Import CSV Data in R 3:44:00 Import Text Data in R 3:47:00 Import Excel, Web Data in R 4:00:00 Export Data in R - Text 4:02:00 Export Data in R - CSV & Excel Data Manipulation 4:07:00 - 5:40:00 4:07:00 Apply Function 4:31:00 Dplyr package 5:29:00 Date with R Data Visualization 5:40:00 - 7:48:00 5:40:00 Introduction to Data Visualization & Scatter Plot 5:51:00 Data Visualization - mfrow 5:59:00 Data Visualization - pch 6:11:00 Data Visualization - Color 6:13:00 Data Visualization - Line Chart 6:16:00 Data Visualization - Bar Plot 6:23:00 Data Visualization - Pie Chart 6:29:00 Data Visualization - Histogram 6:36:00 Data Visualization - Density Plot 6:39:00 Data Visualization - Box Plot 6:44:00 Data Visualization - Mosaic Plot and Heat Map 6:52:00 Data Visualization - 3D Plot 7:02:00 Correlation Plot and Word Cloud 7:11:00 Data Visualization - ggplot2 Machine Learning Toolbox 7:48:00 - 8:14:00 Business Case Understanding 8:14:00 - 8:27:00 Data Pre-Processing 8:27:00 - 9:51:00 SUPERVISED LEARNING : REGRESSION 9:51:00 - 12:56:00 9:51:00 Linear Regression 11:50:00 Correlation Part 12:04:00 Stepwise Regression 12:32:00 Dummy Variable 12:45:00 Non Linear Capstone Project 12:56:00 - 13:37:00 12:56:00 Introduction 13:04:00 Data Understanding 13:12:00 Lazy Predictor 13:19:00 Data Preparation 13:25:00 Data Exploration 13:29:00 Feature Engineering Join Now : http://bit.ly/2TtmMRt
Views: 102960 UpDegree
Intellipaat Data Science Course:- https://intellipaat.com/data-scientist-course-training/ In this complete Data Science tutorial you will learn all the data science major concepts to become a data scientist. This Data Science for beginners video will help you learn concepts like what is data science, supervised learning concepts like data manipulation, data visualization, linear regression, logistic regression, decision tree, random forest, unsupervised learning concepts like k means clustering, user based & item based filtering, association rule mining etc among others. In the end there are some most commonly asked data science interview questions as well to make you job ready. Following topics are covered in this data science training video: 01:43 - what is data science 05:09 - languages for data science 16:37 - what is linear regression 32:39 - what is regression 34:45 - logistic regression 53:29 - performance metrics 01:15:09 - decision tree 03:56:02 - k means clustering 05:45:42 - recommendation engine 05:45:53 - collaborative filtering 06:06:35 - user based collaborative filtering 06:27:33 - item based collaborative filtering 07:29:24 - association rule mining 08:11:29 - #DataScienceInterviewQuestions Interested to learn Data Science courses still more? Please check similar Data Science with r & Data Science training blogs here:- https://goo.gl/mh3hUY Watch complete Data Science tutorials here:- https://goo.gl/BGTpv5 Are you looking for something more? Enroll in our Data Science course and become a certified Data Scientist (https://goo.gl/VL4h3Q). It is a 40 hrs instructor led Data Science training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Data Scientist training, Like us and Subscribe to our channel for more similar Data Science videos and free tutorials. Got any questions about Data Scientist course? Ask us in the comment section below. ---------------------------- Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade ------------------------------ Why should you watch this Data Science tutorial? You can learn Data Science much faster than any other technology and this Introduction to Data Science tutorial helps you do just that. Data Science is one of the best technological advances that is finding increased applications for machine learning and in a lot of industry domains. We are offering the top Data Science tutorial to gain knowledge in Data Science. Our Data Science course has been created with extensive inputs from the industry experts so that you can learn Data Science training and apply it for real world scenarios. Who should watch this Data Science tutorial video? If you want to learn what is Data Science to become a Data Scientist then this Intellipaat Data Science tutorial is for you. The Intellipaat Data Science video is your first step to learn Data Science. Since this Data Science tutorial video can be taken by anybody, so if you are a beginner in technology then you can also enroll for Data Science training to take your skills to the next level. Why Data Science is important? Data Science is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Data Science that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Data Science training & Data Science Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations. Why should you opt for a Data Science career? If you want to fast-track your career then you should strongly consider Data Science. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Scientist. The salaries for Data Scientist is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Data Science with r tutorial is your stepping stone to a successful career! #DataScienceTutorial #DataScienceCourse#DataScienceForBeginners ------------------------------ For more Information: Please write us to [email protected], or call us at: +91- 7847955955 Website: https://goo.gl/VL4h3Q Facebook: https://www.facebook.com/intellipaatonline LinkedIn: https://www.linkedin.com/in/intellipaat/ Twitter: https://twitter.com/Intellipaat
Views: 21171 Intellipaat
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: 3064 Lifestyle
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: 295306 CS Dojo
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: 10664 CryptoZilla
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: 2183 Ecourse Review
This Support Vector Machine in R tutorial video will help you understand what is Machine Learning, what is classification, what is Support Vector Machine (SVM), what is SVM kernel and you will also see a use case in which we will classify horses and mules from a given data set using SVM algorithm. SVM is a method of classification in which you plot raw data as points in an n-dimensional space (where n is the number of features you have). The value of each feature is then tied to a particular coordinate, making it easy to classify the data. Lines called classifiers can be used to split the data and plot them on a graph. SVM is a classification algorithm used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Now, let us get started and understand Support Vector Machine in detail. Below topics are explained in this "Support Vector Machine in R" video: 1. What is machine learning? 2. What is classification? 3. What is support vector machine? 4. Understanding support vector machine 5. Understanding SVM kernel 6. Use case: classifying horses and mules To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the Slides here: https://goo.gl/w72XBR Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment. Why learn Data Science with R? 1. This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc 2. According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 3. Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 4. Randstad reports that pay hikes in the analytics industry are 50% higher than IT The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies, and includes R CloudLab for practice. 1. Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. 2. Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing. 3. As a part of the data science with R training course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and the Internet. Four additional projects are also available for further practice. The Data Science with R is recommended for: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Support-Vector-Machine-in-R-QkAmOb1AMrY&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn courses, visit: - 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: 9252 Simplilearn
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: 1557 Salary Details
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Views: 597186 Joma Tech
This video is a short guided tour of the Celonis Process Mining software. Find out how this new technology brings full transparency to accounting and other business processes. Starting from the web-based interface, we will analyse actual Purchase-to-Pay (P2P) data stored in the SAP system and identify deviations from standard processes which reveal potential for improvement. If you want to find out more about Process Mining or Automated business process discovery (ABPD) visit http://www.celonis.com
Views: 35970 Celonis