Chevron Left
Back to Data Science Math Skills

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

4.5
stars
12,986 ratings

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

BB

Nov 26, 2022

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

SP

May 30, 2020

Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.

Filter by:

1651 - 1675 of 2,903 Reviews for Data Science Math Skills

By Harshith B

•

Apr 9, 2020

Supetb

By Jitesh J T

•

Nov 18, 2019

Superb

By Mike

•

Apr 8, 2019

Great!

By ruizhou

•

Sep 27, 2017

useful

By Fenya H

•

Apr 11, 2025

great

By MADINA A B Q

•

Apr 11, 2025

salom

By NILUFAR H S Q

•

Jan 9, 2025

class

By AXRORJON E A O

•

Jan 9, 2025

class

By kaouther r

•

Dec 18, 2024

great

By Dilnaz S

•

Nov 16, 2024

Лучше

By Boriboyev A

•

Oct 18, 2024

55555

By Rasulov E

•

Jan 12, 2024

Elyor

By Muzrob A K o

•

Apr 12, 2023

Great

By Glenn C

•

Jan 13, 2023

Great

By Brian R Q

•

Sep 15, 2022

Nice!

By Min N

•

Sep 7, 2022

Good

By Akansha S

•

Jul 6, 2021

GREAT

By ADVAIT D

•

Dec 13, 2020

IEJEH

By 121910310046 M N

•

Sep 27, 2020

SUPER

By Monisha M

•

Sep 1, 2020

Good!

By Jenish R

•

Aug 29, 2020

Great

By Deleted A

•

Aug 19, 2020

Hello

By Deleted A

•

Aug 19, 2020

Hello

By Islombek A

•

Aug 9, 2020

Great

By SATHISHKUMAR S B

•

Jul 29, 2020

Super