Statistics for Data Science | Probability and Statistics | Statistics Tutorial | Ph.D. (Stanford)

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What Will You Learn?

  • One of the most critical aspects of the data science approach is our perception of getting the information processed. In developing insights from our accumulated data, we dig out the possibilities. And those possibilities are known as statistical analysis in Data science.
  • Statistics acts as a tool to gather, extract, analyze, and review data, which is an input to Data science techniques; hence, learning statistics is a baby step toward becoming a data scientist. Great Learning‘s Statistics for Data Science course is for beginners and professionals who want to upgrade their skills in data science domains and learn everything about statistical analysis.

Course Content

Time Stamp

  • Statistics vs Machine Learning
    02:22
  • Types of Statistics [Descriptive, Prescriptive and Predictive
    09:05
  • Types of Data
    01:50:45
  • Correlation
    02:46:02
  • Covariance
    02:52:33
  • Introduction to Probability
    04:26:53
  • Conditional Probability with Baye’s Theorem
    05:24:00
  • Binomial Distribution
    06:17:01
  • Poisson Distribution
    06:36:02

Learning materials used in the video

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