Resources
This page provides links to relevant resoures.
We recommend to refer to the Upskilling Guide that the working group has devel-oped. It gives an overview of topics and areas that fully qualified actuaries can explore to ex-pand their data science knowledge and skills.
The literature collection is split into the follow-ing categories:
• Foundations of Data Science
• Actuarial Data Science
• Education Pro-grams
Foundations of Data Science
The material below is primarily learning material on basic knowledge in Data Science. It does not discuss actuarial topics.
Below we list several books which we think are well suited for actuaries. We intentionally restrict to a few books, even though there are a lot more available.
Books
Mathematics / Statistics:
- Data Science and Machine Learning, D.P. Kroese, Z.I. Botev, T. Taimre, R. Vaisman, Chapman and Hall/CRC, 2019
- The Elements of Statistical Learning, T. Hastie, R Tibshirani, J. Friedman, Springer, 2009
- An Introduction to Statistical Learning, G. James, D. Witten, T. Hastie, R. Tibshirani, Springer, 2021
- Computer Age Statistical Inference, B. Efron and T. Hastie, Cambridge, 2016