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

4.5
stars
12,980 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.

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1526 - 1550 of 2,902 Reviews for Data Science Math Skills

By Leonardo R E

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Jan 11, 2024

Excellent

By SHODIYONA I I Q

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Oct 12, 2023

very good

By Enwere F U

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Sep 15, 2023

VERY GOOD

By DEBASISH M

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Mar 5, 2023

very good

By Ramesh R

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May 11, 2022

Excellent

By Abul B

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Apr 28, 2022

Excellent

By Sydney K C

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Jan 12, 2022

thank you

By Tony L

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Sep 9, 2021

Excellent

By Oscar Z

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Jul 19, 2021

Excellent

By Ranganadham G R R

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Feb 21, 2021

EXCELLENT

By Sumita M

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Jan 30, 2021

Very good

By srinivasu r

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Dec 26, 2020

EXCELLENT

By Pris A

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Dec 18, 2020

Excelent!

By Yohithaa K

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Dec 1, 2020

Very good

By Edgar J S

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Nov 23, 2020

very good

By Dr.Rudresh K K J

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Nov 19, 2020

Very good

By KEERTHANA

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Nov 18, 2020

No change

By NILOTPAL P

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Nov 5, 2020

very good

By Uwineza L

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Sep 28, 2020

excellent

By Rishabh k

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Sep 28, 2020

excellent

By Rahul D

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Sep 23, 2020

Excellent

By HAZEL C L

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Sep 17, 2020

Thank You

By Lee F

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Sep 7, 2020

Thank you

By OSCAR S A G

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Aug 30, 2020

Genial!!!

By Abduvaliyev L A

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Aug 14, 2020

Thank you