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Here are the lecture slides, R scripts, and data organized by module and unit. You can also find them on the first page ("Lecture Materials") of every unit. 

Note that in certain units, we no longer have access to the data and script used in that lecture and apologize for the inconvenience.

Module 1

Introductory Lecture

Module 2

Fundamentals of Probability
Random Variables, Distributions and Joint Distributions
Gathering and Collecting Data

Module 3

Summarizing and Describing Data
Joint, Marginal, and Conditional Distributions

Module 4

Functions of Random Variables
Moments of a Distribution
  • Lecture Slides (Note: this PDF also contains content for the optional unit Auctions)
Expectation, Variance, and an Introduction to Regression
Optional Unit: Auctions
  • Lecture Slides (Note: this PDF also contains content for Moments of a Distribution)

Module 5

Special Distributions
The Sample Mean, Central Limit Theorem, and Estimation

Module 6

Assessing and Deriving Estimators
Confidence Intervals, Hypothesis Testing, and Power Calculations

Module 7

Causality
Analyzing Randomized Experiments
(More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Module 8

The Linear Model
The Multivariate Linear Model

Module 9

Practical Issues in Running Regressions
Omitted Variable Bias

Module 10

Endogeneity and Instrumental Variables
Experimental Design
Visualizing Data

Module 11

Machine Learning I
Machine Learning II

Optional Module: Writing an Empirical Paper