Module: Probability & Statistics

A data science perspective on probability and statistics.

Learning Outcomes

Understand and apply probability and statistics

You understand

data distributions
summary statistics
probability mass functions and probability density functions
hypothesis testing
confidence intervals
conditional probability and Bayes theorem
Frequentist vs Bayesian statistics

Readings

Resources for Probability and Statistics

Online lecture notes, books, and tutorials

Experiential Learning

Stats 1

Summary Statistics & Distributions

Stats 2

PMF & Class Size Paradox

Stats 3

PMF, PDF, CDF

Stats 4

Relationship between two variables

Stats 5

Sampling Distributions

Stats 6

Hypothesis Testing & CLT

Stats 7

Bayesian methods