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

4.5
stars
11,647 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

AS

Jan 11, 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)

VS

Sep 22, 2020

This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!

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1576 - 1600 of 2,586 Reviews for Data Science Math Skills

By Akash k

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May 21, 2020

Good

By Rajesh V

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May 21, 2020

Good

By SOBIAH

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May 18, 2020

GOOD

By Ganesh

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May 18, 2020

Good

By SAGAR K

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May 15, 2020

Nice

By ELLANKI A R

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May 12, 2020

good

By Koushik M

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May 10, 2020

good

By SUTASINEE T

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May 6, 2020

Good

By valeti v

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May 3, 2020

good

By kadali h

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Apr 30, 2020

Good

By Ussaneeyaporn G

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Apr 19, 2020

Good

By KUMARESAN J

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Apr 14, 2020

fine

By QianTieyuan

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Mar 15, 2020

Good

By Akhil K

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May 27, 2019

Good

By Amit k m

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Mar 11, 2019

good

By shri r

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Mar 6, 2019

Good

By Sai K G

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Dec 24, 2018

Good

By PRATIK S

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Feb 1, 2018

Good

By jyxdcr

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Nov 20, 2017

easy

By A

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Nov 11, 2017

good

By Insan N

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Oct 30, 2017

Nice

By SHAXRIYOR T B O

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Mar 1, 2024

Zor

By OZODBEK M H O

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Feb 7, 2024

Alo

By Komiljonov O

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Oct 12, 2023

ZOR