Back to Data Science Math Skills

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9,060 ratings

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2,049 reviews

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.
Topics include:
~Set theory, including Venn diagrams
~Properties of the real number line
~Interval notation and algebra with inequalities
~Uses for summation and Sigma notation
~Math on the Cartesian (x,y) plane, slope and distance formulas
~Graphing and describing functions and their inverses on the x-y plane,
~The concept of instantaneous rate of change and tangent lines to a curve
~Exponents, logarithms, and the natural log function.
~Probability theory, including Bayes’ theorem.
While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel."
Good luck and we hope you enjoy the course!...

VC

May 16, 2020

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

RS

May 5, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.\n\nThank you for a great class!!

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By Suyogya M B

•Apr 17, 2020

excellent course for beginners like me.

By Amir G

•Jul 11, 2019

Nice but It was obvious and easy stuff.

By Soumya R R

•Mar 11, 2019

Too good content and practice sessions.

By Dini L M S

•May 29, 2020

I'm so happy can follow this course :)

By An H T

•Dec 10, 2020

I expected more from Duke University.

By Roy M K

•Dec 15, 2020

It's an awesome learning experience.

By Raja M

•Jun 30, 2020

Course Tutors are teaching nicely :)

By Barsha K

•May 5, 2020

Overall good, little tough on week 4

By Pheello M

•Apr 29, 2020

Good course and supporting materials

By Liming H

•Feb 3, 2021

Very useful course for it's purpose

By Thai H D

•Jul 14, 2020

very useful for building foundation

By Ziyu

•Jun 9, 2020

the last unit is a bit confusing...

By Praveen S K

•May 15, 2020

Some concepts not explain properly.

By Sidharth S

•Apr 20, 2020

Thanks for this awesome course sir.

By ANGEL M R

•May 5, 2020

A good course for math begianers

By hafsa s

•Apr 13, 2020

Great for a review of the basics

By Hein Z

•Nov 6, 2018

Nice start math for Data Science

By vendhanramalingam p

•Nov 18, 2020

good to improve the math skills

By nsenga s

•Jun 29, 2020

This course is very interesting

By Ahmar H K

•Apr 23, 2020

Probability part was difficult.

By 郑昕妍

•May 6, 2017

very coherent class! Thank you!

By Adil R

•Apr 6, 2021

very good course for beginners

By YAMANA T

•Mar 15, 2021

nice it give me good knowledge

By Parimal M

•May 1, 2020

Content was really helpful !!

By Mahmoud H

•Jul 12, 2020

Great content, Well done !!!

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