# MATHEMATICS / FOUNDATIONS OF DATA SCIENCE, PART 4

## Course Description

Data science relies on several important aspects of mathematics. In this course, you’ll learn what forms of mathematics are most useful for data science, and see some worked examples of how math can solve important data science problems. *Mathematics* is the fourth of five courses designed to outline the principles and practices of applied data science.

## Course Information

Introductory level

10 streaming video tutorials

53 minutes of instruction

Created by Barton Poulson

Released 15 June 2016

Videos are shared freely with a Creative Commons Attribution license

*Note.* To navigate the videos, click on the menu icon (☰) in the top left of the video.

## Table of Contents

### INTRODUCTION

- Welcome {2:53}

### FOUNDATIONS

- Elementary algebra {3:04}
- Linear algebra {5:38}
- Systems of linear equations {5:24}
- Calculus {4:17}
- Calculus & optimization {8:44}

### DATA PRINCIPLES

- Big O {5:20}
- Probability {7:33}
- Bayes' theorem {7:57}

### CONCLUSION

- Next steps {1:35}