by Allen B. Downey
Elements of Data Science will be published by Green Tea Press in 2024.
Read the online version of the book here
Supporting code and Jupyter notebooks are in this GitHub repository.
Description
Elements of Data Science is an introduction to data science for people with no programming experience. My goal is to present a small, powerful subset of Python that allows you to do real work in data science as quickly as possible.
I don’t assume that the reader knows anything about programming, statistics, or data science. When I use a term, I try to define it immediately, and when I use a programming feature, I try to explain it.
This book is in the form of Jupyter notebooks. Jupyter is a software development tool you can run in a web browser, so you don’t have to install any software. A Jupyter notebook is a document that contains text, Python code, and results. So you can read it like a book, but you can also modify the code, run it, develop new programs, and test them.
The notebooks contains exercises where you can practice what you learn. Most of the exercises are meant to be quick, but a few are more substantial.
This material is a work in progress, so suggestions are welcome. The best way to provide feedback is to click here and create an issue in this GitHub repository.