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
  • Published 25 September 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}