Learn methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest.
- Module One: Introduction
- Module Two: Fundamentals of Probability, Random Variables, Joint Distributions and Collecting Data
- Module Three: Describing Data, Joint and Conditional Distributions of Random Variables
- Module Four: Functions and Moments of a Random Variables & Intro to Regressions
- Module Five: Special Distributions, the Sample Mean, the Central Limit Theorem
- Module Six: Assessing and Deriving Estimators - Confidence Intervals, and Hypothesis Testing
- Module Seven: Causality, Analyzing Randomized Experiments, & Nonparametric Regression
- Module Eight: Single and Multivariate Linear Models
- Module Nine: Practical Issues in Running Regressions, and Omitted Variable Bias
- Module Ten: Endogeneity, Instrumental Variables, and Experimental Design
- Module Eleven: Intro to Machine Learning and Data Visualization Optional: Writing an Empirical Paper
The Codes were tested on Google Colab Plataform.