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Big Data University Series – Part II: Data Science

In Part II of this seriesBig Data University logo, bicorner.com highlights three “Data Science” courses that may be of interest to BI, Analytics & Data Science Professionals.

What is Big Data University?

As stated on the Big Data University website, Big Data University is an IBM initiative aimed at spreading big data literacy. Big Data University’s mission is to democratize access to practical skills for working with data by removing two big impediments: money and time. To that end, they have made everything you need to learn free. Free courses, free access to all the tools, free data – free everything and not for a few days or weeks – forever.  Big Data University courses are “self-paced”,  allowing you to take as long as you need to complete a course.

Data Science Courses:

  • Getting Started with Data Science – Harvard Business Review recently called data science ‘The Sexiest Job of the 21st Century.’ It’s not just sexy: for millions of managers and students who need to solve business problems with big data, it’s indispensable… Using an interview-style format, Dr. Murtaza Haider describes introductory topics about Data Science, and provides interesting examples of how Data Science is used in the real world such as: Do attractive professors get better teaching evaluations? Does adding a washroom or bedroom get you more when selling your home? Does taking Calcium/Magnesium together suggest pregnancy? Does Religion have an impact on extra marital affairs? Murtaza Haider offers careful, jargon-free coverage of basic theory and technique, backed with plenty of clear examples and practice opportunities.
  • Introduction to R – With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40%, and an increasing number of organizations are using it in their day-to-day activities. In this introduction to R, you will master the basics of this beautiful open source language, such as factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis.
  • Introduction to Data Analysis using R – Learn how to tackle data analysis problems using the powerful open source language R. The course will take you from learning the basics of R to using it to explore many different types of data. You will learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, create reusable R functions, create R models to predict expected future outcomes, and more!

In Part I of this series, bicorner.com highlighted three “Big Data” courses that may be of interest to BI, Analytics & Data Science Professionals.

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