Mathematics: Foundations of Data Science, Part 5.

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 fifth of seven courses designed to outline the principles and practices of applied data science.

Course Information

  • Introductory level
  • 10 streaming video tutorials
  • 53 minutes of instruction

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

Table of Contents

1. INTRODUCTION

  1. Welcome (2:53)

2. FOUNDATIONS

  1. Elementary algebra (3:04)
  2. Linear algebra (5:38)
  3. Systems of linear equations (5:24)
  4. Calculus (4:17)
  5. Calculus & optimization (8:44)

3. DATA PRINCIPLES

  1. Big O (5:20)
  2. Probability (7:33)
  3. Bayes' theorem (7:57)

4. CONCLUSION

  1. Next steps (1:35)