# Actuarial Data Science Books / Lectures / Courses

We give an overview of lectures and courses in Actuarial Data Science which we consider to be useful for the profession.

### Books in Actuarial Data Science

- Statistical Foundations of Actuarial Learning and its Applications, M.V. Wüthrich and M. Merz, 2021, SSRN
- Actuarial Data Science, M. Seehafer et. al., De Gruyter, 2021 (in German)

### Lectures in Actuarial Data Science

- Data Analytics for Non-Life Insurance Pricing, ETH Zurich, M.V. Wüthrich and C. Buser

### Courses in Actuarial Data Science

### Deep Learning with Actuarial Application in R, Swiss Association of Actuaries, D. Meier, J. Schelldorfer and M.V. Wüthrich, 15th/16th October 2020, Zurich

- Insurance Data Science: Use and Value of Unusual Data, University of Lausanne and Swiss Association of Actuaries, J.-P. Boucher, A. Charpentier and Ewen Gallic, 12th - 16th August 2019. The slides and the code are publicly available here.
- Insurance Analytics, A Primer, University of Lausanne and Swiss Association of Actuaries, M. Denuit and J. Trufin, 13th-17th August 2018. (The course slides are not publicly available, so please contact the lecturers for providing you the slides. The exercises are publicly availabe on GitHub).

### Courses in Actuarial Science with "a Data Science touch"

We see the following lectures / courses / books in the traditional area of actuarial science, but having a "Data Science touch":

- Computational Actuarial Science with R, CRC Press, A. Charpentier.