Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists

Lecture 02: Fundamentals of Probability

Lecture 03: Random Variables, Distributions, and Joint Distributions

Lecture 04: Gathering and Collecting Data

Lecture 05: Summarizing and Describing Data

Lecture 06: Joint, Marginal, and Conditional Distributions

Lecture 07: Functions of Random Variables

Lecture 09: Expectation, Variance, and Introduction to Regression

Lecture 10: Special Distributions

Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation

Lecture 12: Assessing and Deriving Estimators

Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations

Lecture 14: Causality

Lecture 15: Analyzing Randomized Experiments

Lecture 17: The Linear Model

Lecture 18: The Multivariate Model

Lecture 19: Practical Issues in Running Regressions

Lecture 20: Omitted Variable Bias

Lecture 21: Endogeneity and Instrument Variables

Lecture 22: Experimental Design

Lecture 23: Visualizing Data