DATA 260

Principles of Big Data Analytics

Welcome to DATA 260: Principles of Big Data Analytics.

Main course Reference

Use this demo code reference page as your primary resource in this class. All code demos that I want to make sure you have access to will be provided on this main page.

What do you mean by Principles?

I firmly believe that understanding why things work is key to using them well. In this course, you will gain skills and tools, but you will also develop an understanding of why those tools work.

Other Recommended Resources:

Data Science: A First Introduction with Python

This is the DATA 160 course text, for now. You can refer to it for a refresher on anything you might not know from the first course. Some of the material from that course is covered in this one in a different way.

The Python Data Science Book by Jake VanderPlas

This contains every tool you might want, in extremely high detail – but that means it’s not a teaching book, more like a reference book.

Data Science from Scratch (Second Edition)

This is the book I technically have listed as a textbook for the class. It contains the underlying principles behind why data science works, including the standard algorithms coded “from scratch.” You can expect that if you have a data science interview, they’ll expect you to know some of the things in this book.