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Data Analysis for Social Scientists

Data Analysis for Social Scientists

MIT 14.310x Data Analysis for Social Scientists, Spring 2023

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

Lecture 09: Expectation, Variance, and Introduction to Regression

Lecture 17: The Linear Model

Lecture 06: Joint, Marginal, and Conditional Distributions

Lecture 04: Gathering and Collecting Data

Lecture 10: Special Distributions

Lecture 05: Summarizing and Describing Data

Lecture 12: Assessing and Deriving Estimators

Lecture 15: Analyzing Randomized Experiments

Lecture 02: Fundamentals of Probability

Lecture 14: Causality

Lecture 03: Random Variables, Distributions, and Joint Distributions

Lecture 08: Moments of Distribution

Lecture 07: Functions of Random Variables

Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

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

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