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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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By Abhishek S

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Jun 5, 2020

Thanks

By Rogelio E R C

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Apr 20, 2020

great!

By Harshith B

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Apr 9, 2020

Supetb

By Jitesh J T

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Nov 18, 2019

Superb

By Mike

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Apr 8, 2019

Great!

By ruizhou

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Sep 27, 2017

useful

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Jan 12, 2024

Elyor

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Apr 11, 2023

Great

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Jan 12, 2023

Great

By Brian R Q

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Sep 14, 2022

Nice!

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Sep 6, 2022

Good

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Jul 6, 2021

GREAT

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Dec 12, 2020

IEJEH

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Sep 26, 2020

SUPER

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Sep 1, 2020

Good!

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Aug 29, 2020

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Aug 18, 2020

Hello

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Aug 18, 2020

Hello

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Aug 9, 2020

Great

By SATHISHKUMAR S B

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Jul 29, 2020

Super

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Jul 28, 2020

Great

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Jul 19, 2020

great

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Jun 30, 2020

great

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Jun 25, 2020

great

By KCSIE

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Jun 13, 2020

great