| Version: | 1.0 |
|---|---|
| Authors: | Galvanize |
| Open version: | https://galvanizeopensource.github.io/math-essentials-for-data-science/index.html |
| Galvanize version: | TBD |
| Source: | https://github.com/GalvanizeOpenSource/math-essentials-for-data-science |
| Copyright: | Galvanize Inc. |
To prepare students for a learning experience in data science there is a baseline amout of linear algebra, calculus, programming, and statistics that essentially act as a barrior to entry for aspiring learners.
This content focuses on the linear algebra part. It makes use of the numeric computing package in Python so a basic understanding of Python is necessary.