Here it is finaly, the answer to the question I've been asked the most about online: How to learn causal inference? Where should I start? What are the concepts I should understand and in which order should I learn them?
Mastering causal inference will give you a tremendous asset on the job market and beyond. And good news, you'll find below my ultimate self-study guide for all level and necessitate no pre-requisite.
I crafted carfully this guide over the last decade, while doing scientific research, consulting, and teaching causal inference to over 10,000 students.
Written guide with all the links available here: / how-to-learn-causal-inference-on-your-own-...
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Timestamp and Resources:
1:17 Overview
2:59 1. Introduction: Causal inference key concepts
4:08 1.1 The fundamental problem of causal inference
📚Resources:
🌐TEDx: How to question numbers and prevent manipulation (15min)
• How to question numbers and prevent manipu...
🌐 The Science and Art of Causality (part 1)
https://towardsdatascience.com/the-sc...
🌐 The Causal Mindset App
https://www.thecausalmindset.com/
5:10 1.2 A little bit of formalization: Potential Outcomes
📚Resources:
🌐 Short intro: The potential outcomes (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
🌐 In-depth: The potential outcomes (Causal Inference: The Mixtape)
https://mixtape.scunning.com/04-poten...
5:30 1.3 Visual representation of causal links: Directed Acyclic Graphs
📚Resources:
🌐 Short intro: Directed Acyclic Graphs (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
🌐 In-depth: Directed Acyclic Graphs (Causal Inference: The Mixtape)
https://mixtape.scunning.com/03-direc...
5:53 2. Technical Tools
6:03 2.1 Probability, Statistics, and Linear regression
📚Resources:
🌐 Probability and Regression Review (Causal Inference: The Mixtape)
https://mixtape.scunning.com/02-proba...
🌐 In-depth: Directed Acyclic Graphs (Causal Inference: The Mixtape)
https://matheusfacure.github.io/pytho...
🌐Which variable you should control for? (Scott Cuningham’s substack)
https://causalinf.substack.com/p/whic...
🌐A Crash Course in Good and Bad Controls (Cinelli et al. (2022))
https://ftp.cs.ucla.edu/pub/stat_ser/...
🌐Fixed Effects (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
🌐Fixed Effects (Causal Inference: The Mixtape)
https://mixtape.scunning.com/08-panel...
7:00 2.2 Statistical tools
📚Resources:
🌐 Introduction To Python Programming (Udemy)
https://www.udemy.com/course/pythonfo...
🌐 Linear Regression in Python (Real Python)
https://realpython.com/linear-regress...
8:02 3. Randomized Experiments (A/B testing)
🌐 Randomised Experiments (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
9:53 4. Quasi-experimental design
10:04 4.1 Regression Discontinuity Design (RDD)
📚Resources:
🌐Short intro: Regression Discontinuity Design (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
🌐In depth: Regression Discontinuity Design (Causal Inference: The Mixtape)
https://mixtape.scunning.com/06-regre...
12:28 4.2 Difference-in-Differences (Diff-in-Diff)
📚Resources:
🌐Short intro: Diff-in-Diff (Causal Inference for the brave and true)
https://matheusfacure.github.io/pytho...
🌐In depth: Diff-in-Diff (Causal Inference: The Mixtape)
https://mixtape.scunning.com/09-diffe...
🌐Example: ChatGPT effect on Stack Overflow
https://towardsdatascience.com/how-ai...
12:56 4.3 Instrumental Variables
📚Resources:
🌐Short intro: Instrumental Variables (Causal Inference for the brave and true)
🌐In depth: Instrumental Variables (Causal Inference: The Mixtape)
12:23 5 Your first meaningful project in causal inference
16:57 6. Advanced topics
Check my Towards Data Science articles for more resources
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🤝 Connect with me to learn more
You can find me on Linkedin (main platform where I post every week), Instagram, YouTube, and of course, you can follow me here on Medium.
If you want to have me for a talk, teach a class, a seminar or give a training, you can contact me: quentingallea.com