Metrics_prep

Materials for stats and probability

1. cheat sheet of probability and stats 1
2. cheat sheet of probability and stats 2
3. cheat sheet of probability

Materials for basic metrics

1. causal inference mixtape
2. econometrics II CMU
3. NYU first year PhD metrics
4. Introduction to Causal Inference
5. MIT 14.771/ Harvard 2390b “Empirical Methods” handout
6. Program Evaluation for Public Service
7. econometrics with R
8. A 4-day time series course
9. Data analysis course slides
10. ScPoMetrics online book
11. Time Series econometrics
12. Metrics notes from Peter Hull

Materials for mathematical foundations

1. Stanford applied linear algebra
2. UCLA math camp
3. Introduction to Linear Algebra
4. statistics for application, MIT OCW
5. statistical inference
6. theoritical stats

Stata

1. cheatsheet for stata
2. causal inference mixtape

R

1. R coder
2. Gabors Data Analysis
3. Stats 545 UBC
4. Purrr package tutorial
5. statistical computing in Duke University

Python for data

1. QuantEcon
2. Python for Data Analysis, 3E
3. Python Pandas cheatsheet
4. Matplotlib cheatsheet in github
5. python for economists
6. coding for economists mainly in python

Princeton Predoc materials

ESOC-Predoc-Training

Git

Git with R

Machine learning

1. Google machine learning crash course
2. Master level machine learning course in econometrics

Some pages of useful courses

1. some undergrad courses from the first prof
2. some undergrad courses from the second prof