Unofficial class notes for the 14_310x MITx (edX) course "Data Analysis for Social Scientists"
Please help me correcting the notes using pull requests.
- Module 01 - Welcome to the Course
- Module 02 - Fundamentals of Probability, Random Variables, Joint Distributions + Collecting Data
- Module 03 - Describing Data, Joint and Conditional Distributions of Random Variables
- Module 04 - Functions and Moments of a Random Variables & Intro to Regressions
- Module 05 - Module 5: Special Distributions, the Sample Mean, the Central Limit Theorem
- Module 06 - Assessing and Deriving Estimators - Confidence Intervals, and Hypothesis Testing
The other units are now also available, just browse the source
For compact cheatsheets see the MicroMaster repository: https://github.com/sylvaticus/MITx-MicroMaster-Statistics-and-Data-Science