About this course
This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, we will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.
This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively.
See more about Data Analysis for Social Scientists
What you'll learn
Intuition behind probability and statistical analysis
How to summarize and describe data
A basic understanding of various methods of evaluating social programs
How to present results in a compelling and truthful way
Skills and tools for using R for data analysis