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📈 Unlock the power of cause and effect—before your competition does!
Causal Inference: The Mixtape by Scott Cunningham is a top-rated, accessible introduction to causal analysis, featuring practical Python and R code examples. Ranked #39 in Applied Mathematics, it’s a must-have for professionals eager to master data-driven decision making with clarity and hands-on practice.
| Best Sellers Rank | 52,990 in Books ( See Top 100 in Books ) 39 in Applied Mathematics (Books) 1,313 in Philosophy (Books) 2,658 in Scientific, Technical & Medical |
| Customer Reviews | 4.6 out of 5 stars 400 Reviews |
P**S
Great starting point for causal analysis - code examples make it 5 *
This is one of the most accessible books for getting started with causal inference. Its not perfect however, but definitely one of the best Ive read. The text manages to move from perfect clarity with lucid examples to overwhelming complexity in a matter of paragraphs. Where its good, its great. Where its dense its a little overwhelming. Also I was disappointed that although it covered off pretty much all the key points, it missed out metalearners. However there are Python and R code example for everything on the website - which are awesome. So 5 stars.
L**R
Excellent book
a readable introsuctory book with programming examples
B**N
Very useful book
Excellent book
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