A collection of courses and resources that I find interesting while learning statistics.

What are the best courses for learning statistics?

1. Statistics 110: Probability - Youtube Link

Taught by Joseph Blitzstein

Stat 110 is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are useful in statistics, science, engineering, economics, finance, and everyday life. Topics include the following. Basics: sample spaces and events, conditioning, Bayes’ Theorem. Random variables and their distributions: distributions, moment generating functions, expectation, variance, covariance, correlation, conditional expectation. Univariate distributions: Normal, t, Binomial, Negative Binomial, Poisson, Beta, Gamma. Multivariate distributions: joint, conditional, and marginal distributions, independence, transformations, Multinomial, Multivariate Normal. Limit theorems: law of large numbers, central limit theorem. Markov chains: transition probabilities, stationary distributions, reversibility, convergence. The prerequisites are calculus (mainly single variable) and familiarity with matrices.

2. MIT 18.650 Statistics for Applications, Fall 2016 - Youtube Link

Taught by Philippe Rigollet

This course offers an in-depth exploration of the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathematics in the research and development of efficient statistical methods.

1. An Introduction To Statistical Learning With Applications In Python

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