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Learner Reviews & Feedback for Data Science Math Skills by Duke University

8,084 ratings
1,828 reviews

About the Course

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!...

Top reviews


May 06, 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!!


Jan 12, 2019

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)

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1501 - 1525 of 1,810 Reviews for Data Science Math Skills

By Sheikh U U

Apr 15, 2020

Perfect foundation course for maths skills enhancement

By Mohit K

Jun 02, 2020

This course helps in probability, Binomial, Sets etc.

By Ayush Y

Apr 12, 2020

It provides very good knowledge and in very easy way

By Santiago G B

Jul 02, 2020

Grat lessons but lack of examples during de videos.

By Phyu W N

Oct 03, 2020

This class give me a lot of thinking of Math skill

By Gloria P

Jul 29, 2020

Very engaging instruction and interesting content.

By Kaue C C

May 10, 2020

Great introductory course for people outside STEM.

By Mohammed M

May 05, 2020

thx you i have learned alote from this Coutsera...

By Claudia R

Apr 18, 2020

Good course. But course material could be improved

By fabio J

Sep 21, 2019

Great introduction / refresh to math & probability

By Jaime M

May 17, 2017

Muy buen curso como base para el analisis de datos

By Ali N

Apr 13, 2020

Overall, the course was good, but I expected more

By Gilmar N

May 28, 2020

It lacks some more problem solving explanations.


May 19, 2020

this course is useful to get the logic of maths.

By James M

Mar 31, 2018

great introduction and refresher to maths skills


May 24, 2020

Probability Course is difficult to understand

By Joshua C

Aug 29, 2017

The first three chapters are relatively easy.

By Anshul v

May 30, 2020

interesting and learning more inside course.

By Ellen H

Apr 27, 2020

Good examples and illustration. Good tests.

By Belen R R

Oct 26, 2019

A veces las explicaciones no son tan claras

By milly

Aug 20, 2020

Good but need more informative information

By Monish M P

Jun 08, 2020

Good it was perfect for beginners like me.

By Faizia M

Sep 04, 2020

This is helpful for gaining a knowledge..

By Pitipol C

Aug 12, 2020

The second part was a bit short and fast.


Jun 16, 2020

its nice to understand the logic of math.