Literature

There is a number of good books covering data science in Python and R.

The following books are required for this course:

• Think Python, 2nd ed.
• Introduction to Data Science – A Python Approach to Concepts, Techniques and Applications“
• Think Stats, 2nd ed.
• R for Data Science

All the required books were selected for their free availability - they can be freely downloaded.

For Python - in Czech, the following book is freely available in electronic form (pdf):

• Ponořme se do Python(u) 3 = Dive into Python 3 /

The following books are recommended for further reading:

• Programming in Python 3, 2nd Ed.
• Python Machine Learning
• An Introduction to Statistical Learning with Applications in R
• Scala for Machine Lerarning
• Functional Programming in Scala

Podcasts

• Dataři - Český rozhlas