-
Notifications
You must be signed in to change notification settings - Fork 26
8. Mathematics Refresher
Ty Shaikh edited this page Jun 29, 2018
·
9 revisions
Despite what many other guides may say, you won't be using a lot of deep mathematics as an entry-level data scientist.
The most important subject areas are statistics and probability. Linear algebra and calculus will only come up a few times, so we'll teach the concepts at that time. Programming confidence, intermediate software engineering skills and ability to wrangle data are much more important.
- Interactive Visual Learning: See Theory from Brown University. Great if you need a quick refresher.
- Comprehensive Review: Khan Academy. If you have never studied the subjects before.
-
Practice:
- Go through this set of Jupyter Notebooks
- Explore the Titanic Data Set - Notebook and Data