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Probability & Statistics
A list of some available resources.
- Handbook on Statistical Distributions for Experimentalists. Christian Walck, University of Stockholm.
- Modern Statistics with R. Mans Thulin.
- Introduction to Probability for Data Science. Stanley H. Chan.
- An Introduction to Statistical Learning. Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani.
- Bayesian Optimization. Roman Garnett.
- Biostatistics. University of Florida Open Learning Textbook.
- Practical Statistics for Data Scientists. Peter Bruce, Andrew Bruce, and Peter Gedeck.
- Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari.
- Bayesian Statistics using Julia and Turing. José Eduardo Storopoli.
- Think Bayes 2nd. Ed. , Allen B. Downey.
Updated: 02/17/2022 (C. Lizarraga)
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- UArizona Data Science Workshops
- UArizona Data Lab Workshops (Fall 2023)
- UArizona Data Lab Deep Learning Workshops (Fall 2023)
Carlos Lizárraga, UArizona Data Lab, Data Science Institute, University of Arizona, 2025.
