Chevron Left
Back to Data Science Math Skills

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

4.5
stars
12,983 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 25, 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 29, 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:

1701 - 1725 of 2,903 Reviews for Data Science Math Skills

By E'ZOZA A S Q

•

Feb 28, 2025

BEST

By Baxtiyor Q

•

Jan 30, 2025

good

By Axmetov A

•

Jan 23, 2025

a'lo

By Omraje J

•

Jan 20, 2025

. .

By ABDULHAKIM Z I O

•

Jan 19, 2025

good

By JAMSHIDDIN D A U

•

Jan 18, 2025

Nice

By JAVOHIR S T

•

Jan 11, 2025

a'lo

By MOXICHEHRA K M Q

•

Jan 9, 2025

a'lo

By GAYRAT M B

•

Jan 9, 2025

a'lo

By Usamanov S

•

Dec 28, 2024

Zo`r

By SAFAROVA S M Q

•

Dec 19, 2024

zo'r

By JAVLONBEK T

•

Dec 11, 2024

Zoʻr

By Shamshod B

•

Dec 5, 2024

well

By Bazarbaeva D

•

Nov 27, 2024

good

By sagar l

•

Nov 19, 2024

good

By Roshan

•

Oct 24, 2024

Good

By PRIYANSHU K

•

Aug 30, 2024

good

By Ranbeer D K

•

Aug 26, 2024

good

By Oybek X

•

Aug 13, 2024

Yueu

By Kaypnazarova I

•

Aug 1, 2024

math

By Оразаев А

•

Apr 4, 2024

good

By SIROJIDDIN N V O

•

Mar 1, 2024

Zoʻr

By FIRDAVS_JUMAYEV_BEKZOD O

•

Jan 22, 2024

zo'r

By Jumanazarov K

•

Jan 21, 2024

Okay

By ZAYNIDDIN_MUXUDDINOV_ABROR O

•

Oct 15, 2023

Zo'r