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Back to Data Science Math Skills

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

4.5
stars
12,981 ratings

About the Course

Data science courses contain math鈥攏o 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鈥� 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.

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1426 - 1450 of 2,902 Reviews for Data Science Math Skills

By Robby Y P

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Jun 24, 2020

Great course

By MinGyu J

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Jun 1, 2020

great course

By Benny A

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May 19, 2020

Great course

By shubham

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May 12, 2020

GOOD LEARING

By Nandivada P E

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May 8, 2020

Super course

By Sreehari A

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May 4, 2020

Great course

By Ezequiel P

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Apr 21, 2020

Good course!

By Pratik K

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Apr 15, 2020

Great Course

By UPADHYAY A M

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Apr 12, 2020

Very helpful

By Ojo a r

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Apr 12, 2020

great course

By InherentImplants

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Mar 25, 2019

Very helpful

By Saida S A

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Feb 3, 2019

Great course

By Raghu P M

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Sep 18, 2018

super course

By SYED M S

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Dec 26, 2017

Nice Course!

By Jesus m v a

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Oct 9, 2025

Nice course

By Evans A

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Jul 16, 2025

Nice course

By Vidhya S

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May 29, 2025

Nice course

By Samat J

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May 10, 2025

莹褌械 泻械褉械屑械褌

By Sadik H

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Mar 29, 2025

hard enough

By Bilolbek Q

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Jan 24, 2025

Very good !

By Isomiddinova S A

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Dec 15, 2024

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By ivan d l C B

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Oct 23, 2024

good course

By 30_OM M

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Oct 5, 2024

Nice course

By 袧冶褉谢邪薪 袞

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Jul 15, 2024

野薪邪写褘 覜邪褌褌褘

By Qingzi 鈥� S

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Jan 25, 2024

Pretty Good