MIT

1.4.6 Video 5: Adding Variables (M-I-T)

1.4.7 Video 6: Summary Tables (M-I-T)

2.1.1 Welcome to Unit 2 (M-I-T)

2.2.1 Video 1: Predicting the Quality of Wine (M-I-T)

2.2.11 Video 6: Correlation and Multicollinearity (M-I-T)

2.2.13 Video 7: Making Predictions (M-I-T)

2.2.15 Video 8: Comparing the Model to the Experts (M-I-T)

2.2.3 Video 2: One-Variable Linear Regression (M-I-T)

2.2.5 Video 3: Multiple Linear Regression (M-I-T)

2.2.7 Video 4: Linear Regression in R (M-I-T)

2.2.9 Video 5: Understanding the Model (M-I-T)

2.3.1 A Quick Introduction to Baseball (M-I-T)

2.3.11 Video 6: The Analytics Edge in Sports (M-I-T)

2.3.2 Video 1: The Story of Moneyball (M-I-T)

2.3.3 Video 2: Making it to the Playoffs (M-I-T)

2.3.5 Video 3: Predicting Runs (M-I-T)

2.3.7 Video 4: Using the Models to Make Predictions (M-I-T)

2.3.9 Video 5: Winning the World Series (M-I-T)

2.4.1 Welcome to Recitation 2 (M-I-T)

2.4.2 Video 1: The Data (M-I-T)

2.4.3 Video 2: Playoffs and Wins (M-I-T)

2.4.4 Video 3: Points Scored (M-I-T)

2.4.5 Video 4: Making Predictions (M-I-T)

3.1.1 Welcome to Unit 3 (M-I-T)

3.2.1 Video 1: Replicating Expert Assessment (M-I-T)