README.md

Foundations of Data Science: Inferential Thinking by Resampling - Data8.2x

Week 1

• Section 1: Introduction (Lec 1.1 - Lec 1.2)

  • Lec 1.1 Course Overview
  • Lec 1.2 Why Data Science

• Section 2: Probability (Lec 2.1 - Lec 2.5)

  • Lec 2.1 Monty Hall Problem
  • Lec 2.2 Probability
  • Lec 2.3 Multiplication Rule
  • Lec 2.4 Addition Rule
  • Lec 2.5 Probability Example
  • Reading and Practice for Section 2

• [Review] Section 3: Iteration (Lec 3.1 - Lec 3.7)

  • [Review] Lec 3.1 Comparison
  • [Review] Lec 3.2 Predicates
  • [Review] Lec 3.3 Random Selection
  • [Review] Lec 3.4 Random Selection Discussion
  • [Review] Lec 3.5 Print
  • [Review] Lec 3.6 Control Statements
  • [Review] Lec 3.7 For Statements
  • Reading and Practice

• Lab 1: Randomization

Week 2

• Section 4a: Sampling (Lec 4.1 - Lec 4.2)

  • Lec 4.1 Probability & Sampling
  • Lec 4.2 Sampling
  • Reading and Practice

• Section 4b: Simulation (Lec 4.3 - Lec 4.6)

  • Lec 4.3 Distributions
  • Lec 4.4 Large Random Samples
  • Lec 4.5 Simulation
  • Lec 4.6 Statistics
  • Reading and Practice for Section 4b

• Section 5: Hypothesis Testing (Lec 5.1 - Lec 5.4)

  • Lec 5.1 Assessing Models
  • Lec 5.2 A Model about Random Selection
  • Lec 5.3 A Genetic Model
  • Lec 5.4 Example
  • Reading and Practice for Section 5

• Lab 2: Sampling

Week 3

• Section 6: Comparing Distributions (Lec 6.1 - Lec 6.4)

  • Lec 6.1 Introduction
  • Lec 6.2 Total Variation Distance
  • Lec 6.3 Assessment
  • Lec 6.4 Summary
  • Reading and Practice for Section 6

• Section 7: Decisions and Uncertainty (Lec 7.1 - Lec 7.5)

  • Lec 7.1 Introduction and Terminology
  • Lec 7.2 Performing a Test
  • Lec 7.3 Statistical Significance
  • Lec 7.4 An Error Probability
  • Lec 7.5 Origin of the Conventions
  • Reading and Practice for Section 7

• Lab 3: Inference, Part 1

Week 4

• Section 8a: A/B Testing (Lec 8.1 - Lec 8.3)

  • Lec 8.1 Introduction
  • Lec 8.2 Hypotheses and Statistic
  • Lec 8.3 Performing the Test
  • Reading and Practice for Section 8a

• Section 8b: Deflategate Example (Lec 8.4 - Lec 8.5)

  • Lec 8.4 Deflategate Introduction
  • Lec 8.5 Deflategate Testing

• Section 9: Causality (Lec 9.1 - Lec 9.4)

  • Lec 9.1 Introduction
  • Lec 9.2 Hypotheses
  • Lec 9.3 Test Statistic
  • Lec 9.4 Performing a Test
  • Reading and Practice for Section 9

• Lab 4: Inference, Part 2

Week 5

• Section 10: Confidence Intervals (Lec 10.1 - Lec 10.4)

  • Lec 10.1 Percentiles
  • Lec 10.2 Estimation
  • Lec 10.3 Estimate Variability
  • Lec 10.4 The Bootstrap
  • Reading and Practice for Section 10

• Section 11: Interpreting Confidence (Lec 11.1 - Lec 11.3)

  • Lec 11.1 Applying the Bootstrap
  • Lec 11.2 Confidence Interval Pitfalls
  • Lec 11.3 Confidence Interval Tests
  • Reading and Practice

• Lab 5: Bootstrap

• Optional Additional Content