# Data Science Lectures / Books

If you are or become an Actuary and/or you are interested in learning more about Data Science in general, then you are on the right page!

Below we list more lectures, courses and books which we think are perfect for Actuaries to learn more about Data Science. The material below is primariliy learning material on basic knowledge in Data Science. Be aware that they do not discuss actuarial topics.

### Lectures in Data Science

*Data Analysis:*

- Computational Statistics, ETH Zurich, M. H. Maathuis
- Machine Learning, Coursera, A. Ng

### Books in Data Science

Below we list several books which we think are well suited for actuaries, providing basic knowledge in various Data Science areas. We intentionally restrict to a few books, as there are a lot more available.

*Statistics:*

- 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, 2015

*Data Science with R:*

- R for Data Science, G. Grolemund, H. Wickham, O’Reilly Media, 2017
- ggplot2, H. Wickham, Springer, 2016
- Modern Data Science with R, S. Baumer, D.T. Kaplan, Chapman & Hall, 2017
- Machine Learning with R, B. Lantz, Packt, 2015

*Data Science with Python:*

- Data Science from Scratch, J. Grus, O’Reilly Media, 2015
- Python Data Science Workbook, J. VanderPlas, O'Reilly Media, 2017

*Neural Networks and Deep Learning:*

- Deep Learning, I. Goodfellow, Y. Bengio, A. Courville, MIT Press, 2017
- Neural Networks and Deep Learning, Nielsen, M., 2017

*Software Engineering with Python:*

- Data Visualization with Python and JavaScript, O'Reilly Media, 2016

### Part-time professional development in Data Science

If you are interested in attending a part-time professional development in Switzerland, we can recommend the following two trainings:

- DAS / MAS Data Science, ZHAW, Winterthur
- CAS Big Data Analytics, Hochschule Luzern, Zug