Mathematics is mother discipline of statistics and data science. And while computers are able to do the calculations for you, a sound understanding of important mathematical principles can make your data science work more efficient and more useable. The course introduces basic topics like algebra, calculus, and probability in ways that help practicing data scientists and managers.

COURSE INFORMATION
  • Introductory level
  • 10 streaming video tutorials
  • 52 minutes of instruction
  • Downloadable keypoints PDFs (available soon)
  • Downloadable workbook PDFs (available soon)
  • Created by Barton Poulson, PhD

COURSE BUNDLES

This course is available for purchase as an individual course or as part of the discounted course bundle Foundations of Data Science.

Course Curriculum

  • 1

    Introduction

    • Welcome

  • 2

    Foundations

    • Elementary algebra

    • Linear algebra

    • Systems of linear equations

    • Calculus

    • Calculus & optimization

  • 3

    Data Principles

    • Big O

    • Probability

    • Bayes' theorem

  • 4

    Conclusion

    • Next steps

About the instructor

Founder

Barton Poulson

Bart is the founder of datalab.cc and an advocate for data science and data literacy. He has taught people to work with data for over twenty years as a university professor, online instructor, consultant, collaborator, and author. Bart lives with his family in Salt Lake City.

What others have been saying about this course:

5 star rating

Mathematics in Data Science

Bruce Fox

Brief and clear. An excellent review which provide superior context on what do do and why.

Brief and clear. An excellent review which provide superior context on what do do and why.

Read Less
5 star rating

Kunnal Kainth

Use your Call To Action description to encourage students to sign up for your course

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