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In-depth understanding of programming concepts in python
Ability to write effective scripts for data analysis
Application of machine learning for predictive modelling and efficient processing of big data
Understanding of concepts of numerical mathematics,
Application of python to computer simulation of physical problems

Programming concepts in python; scientific modules numpy, scipy etc
Machine learning: Regression, decision trees, random forests, neuronal networks
Analysis of time series data and noise models
Elements of numerical mathematics, numerical solution of differential equations

J.Grus, Data Science from Scratch – First principles with python. (O’Reilly) A.Geron, Hands on Machine Learning with scikit-learn and tensor flow (O’Reilly) A. Scopatz & K.D. Huff, Effective Computation in Physics – Field guide to research with Python (O’Reilly)

http://scipy-lectures.org/intro/index.html

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