Tentative course topics 🥗
Topics subject to change based on course progression.
Week 1: Data Exploration & Visualization
April 1-5, 2024
Summary statistics, data manipulation, group-wise operations, joins, principles of plotting
Week 2: Statistical inference I
April 8-12, 2024
Sampling distributions, statistical estimators, confidence intervals
Week 3: Statistical Inference II
April 15-19, 2024
Maximum likelihood estimation, method of moments, the bootstrap
Week 4: Linear Regression
April 22-26, 2024
Correlation, simple linear regression, confidence & prediction intervals, multiple regression, feature generation, model evaluation, normal equations
Week 5: Classification
April 29 - May 3, 2024
Logistic regression, classification error metrics
Week 6: Quiz 1 and catch up
May 6-10, 2024
In-class quiz on Tuesday, May 7
Week 7: Bias-Variance Tradeoff
May 13-17, 2024
Overfitting, under-fitting, cross-validation, regularization
Week 8: Causal Inference
May 20-24, 2024
Rubin causal model, response surface modeling, instrumental variables, diff-in-diff
Week 9: Catch up and Career Panel
May 27-31, 2024
Review of course material; panel on data science careers in government, academia, and non-profits
Week 10: Quiz 2
June 3-4, 2024
In-class quiz on Tuesday, June 4