DataCase
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Product Sense
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A/B Test & Causal Inference
Probability & Statistics
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Course outline
Probability & Statistics
0%
Module 1 · Data and Randomness
1
Population and Sample
2
Describing a Distribution
3
Probability Rules
Module 2 · Conditioning and Random Variables
4
Conditional Probability
5
Bayes' Theorem
6
Random Variables
7
Joint Distributions and Correlation
Module 3 · The Distributions
8
Discrete Distributions
9
Continuous Distributions
10
The Normal Family: Chi-Square, t and F
11
Choosing a Distribution
Module 4 · From Sample to Population
12
Sampling Distributions and Standard Error
13
The Central Limit Theorem
14
Estimators and Maximum Likelihood
15
The Bootstrap
Module 5 · Inference
16
Confidence Intervals
17
Hypothesis Testing and P-Values
18
Type I, Type II and Power
19
Comparing Two Groups
20
Chi-Square Tests for Categorical Data
21
Nonparametric and Permutation Tests
22
Bayesian Inference
Module 6 · The Statistics Behind an A/B Test
23
An Experiment as a Two-Sample Problem
24
Choosing a Test for an Experiment
25
Alpha, Power and Sample Size
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