(Post-Graduation in Business Analytics and Business Intelligence: This “Statistics for Data Science” Full course by Great Learning would help you to comprehensively learn all the basic and advanced topics in Statistics.
This course will be taught by Dr.Abhinanda Sarkar who has his Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); and has co-founded OmiX Labs.
These are the topics covered in this full course:
1. Statistics vs Machine Learning - 2:22
2. Types of Statistics [Descriptive, Prescriptive and Predictive] - 9:05
3. Types of Data - 1:50:45
4. Correlation – 2:46:02
5. Covariance – 2:52:33
6. Introduction to Probability – 4:26:55
7. Conditional Probability with Baye’s Theorem – 5:24:00
8. Binomial Distribution – 6:17:01
9. Poisson Distribution – 6:36:02
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If you are looking forward to pursue a post-graduation course in data analytics, then great learning offers the Business Analytics and Business Intelligence post-graduation program in collaboration with the McCombs School of Business, at the University of Texas, Austin and Great Lakes, India.
The faculty pool comprises of leading academicians and industry practitioners in the field of data analytics.
PGP-Business Analytics and Business Intelligence has been ranked No.1 in India by AIM. UT Austin McCombs School of Business’ MS in Business Analytics in ranked No.2 in the world by QS World University Rankings.
PGP-BABI - (
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