Course overview

What is Statistics for Data Science 2 about?

Stats 2 is a Foundation-level probability course building on Stats 1: joint/marginal/conditional distributions, independence and transformations of random variables, expectation and variance, and continuous random variables.

• ▸Week 1: joint, marginal, and conditional PMFs of discrete random variables.
• ▸Week 2: independence, transformations of random variables, convolution.
• ▸Week 3: expected value, variance, covariance, correlation, Markov and Chebyshev inequalities.
• ▸Week 4: continuous random variables — CDFs, PDFs, common distributions.

Unofficial, student-built, not affiliated with IIT Madras.