Data Science , Data Analysis

These course/courses focus on :

1.R Basics

2. Introduction to Data

3. Fundamentals of Probability

4. Random Variables, Distributions, and Joint Distributions

5.  Gathering and Collecting Data

6.  Summarizing and Describing Data

7.   Joint, Marginal and Conditional Distributions

8.   The function of Random Variables

9.   Moments of a Distribution

10. Expectation, Variance and an Introduction to Regression

11.  Auctions

12.Human Subjects and Special Distributions

13. The Sample Mean, Central Limit Theorem and Estimation

14.Assessing and Deriving Estimators

15. Confidence Intervals and Hypothesis Testing

16.Causality

17. Analyzing Randomized Experiments

18.Exploratory Data Analysis: Nonparametric Comparisons and Regressions

19.The Linear Model

20.The Multivariate Linear Model

21.Practical Issues in Running Regressions

22. Omitted Variable Bias

23. Machine Learning I

24. Machine Learning II

25. Visualizing Data

26. Endogeneity and Instrumental Variables

27. Experimental Design

28. Writing an Empirical Social Science Paper

29. Final Exam, Exit survey