This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills.
The book covers:
* The important parts of Python to know
* The important parts of Math / Probability / Statistics to know
* The basics of data science
* How commonly-used data science techniques work (learning by implementing them)
* What is Map-Reduce and how to do it in Python
* Other applications such as NLP, Network Analysis, and more
