Data Science: The Hard Parts

Chapter 1: So What. Creating Value With Data Science
Chapter 2: Metrics Design
Chapter 3: <a href="/dvaughan79/data-science-hard-parts-code/blob/main/ch3_growth_decompositions.ipynb">Growth Decompositions: Understanding Tail and Headwinds
Chapter 4: 2x2 Designs
Chapter 5: Building Business Cases
Chapter 6: What's In a Lift?
Chapter 7: Narratives
Chapter 8: Datavis: Choosing the Right Plot to Deliver a Message

This is the code repo for the O'Reilly book "Data Science: The Hard Parts" to be released in September 2023.

If you're new to python, I recommend downloading the Anaconda Distribution. Please follow the instructions thereby provided.

All code is provided as chapter-specific Jupyter notebooks (download instructions here) that are rendered on Github.

I recently started writing blog posts on my substack. You can find the accompanying code here.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
figs		figs
substack		substack
.gitignore		.gitignore
README.md		README.md
ch08_datavis.ipynb		ch08_datavis.ipynb
ch10_linear_regression.ipynb		ch10_linear_regression.ipynb
ch11_data_leakage.ipynb		ch11_data_leakage.ipynb
ch12_productionizing_ml.ipynb		ch12_productionizing_ml.ipynb
ch13_stortellingML.ipynb		ch13_stortellingML.ipynb
ch14_decisions.ipynb		ch14_decisions.ipynb
ch15_incrementality.ipynb		ch15_incrementality.ipynb
ch16_abtests.ipynb		ch16_abtests.ipynb
ch17_llms.ipynb		ch17_llms.ipynb
ch3_growth_decompositions.ipynb		ch3_growth_decompositions.ipynb
ch6_lifts.ipynb		ch6_lifts.ipynb
ch9_simulation.ipynb		ch9_simulation.ipynb
chapter4_2x2_designs.ipynb		chapter4_2x2_designs.ipynb

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