A (work in progress) curated list of suggested reading materials relating to Data Science.
Note that tutorial materials, and readings related to specific topics are more likely to be listed in our Tutorials, and not necessarily copied here.
- 50 Years of Data Science, D Donoho
- Exploratory Data Analysis, JW Tukey
- Depth of Learning, M Buchanan
- Points of View: Storytelling, M Krzywinski & A Cairo
- Programming Principles
- Better Explained
- A good resource for accessible math explainers
- Simply Statistics
- Covers statistics, data science, and AI
- What's the Big Data
- Curates a lot of quick, interesting things on data science in general, largely industry focused
- Probability and Statistics for Data Science
- "These notes were developed for the course Probability and Statistics for Data Science at the Center for Data Science in NYU."
- Data Science from Scrath, Joel Grus
- Python Data Science Handbook, Jake Vanderplas
- Distill
- GigaScience
- Journal of Open Source Software
- Scientific Data