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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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1051 - 1075 of 2,586 Reviews for Data Science Math Skills

By Wing S C

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Mar 23, 2021

Easy and clear to follow.

By SATHEESH K B

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Nov 26, 2020

excellent course for me

By DELNA A

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Nov 7, 2020

It s very use full course

By Sheik A

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Aug 11, 2020

Great fundamental course.

By Sanjana k p

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Jul 31, 2020

Nice opportunity to learn

By Ahmad J A A

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Jul 13, 2020

Very useful for beginners

By ALTAF S

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Jul 3, 2020

Excellent coursera course

By G C V

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Jul 3, 2020

Thank you Duke University

By 15-409 N

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Jun 25, 2020

Yeah...a very good course

By Mr.E C

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May 18, 2020

It was a great experience

By Asmita V

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May 13, 2020

The course was enriching.

By MR. I R

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May 8, 2020

Very easy to understand..

By Pratik M P

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Apr 20, 2020

Nice course for beginners

By Prajval

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Apr 13, 2020

Got refreshed with basics

By MURODJON_SAMIEV_HOJIQURBON O

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Oct 26, 2023

Algebra fanini o'rganish

By ABDULAZIZ A I O

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Sep 29, 2023

this course is very good

By Naga s m a

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May 19, 2021

It in an amazing course.

By SHAM V

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Dec 18, 2020

Really learned from this

By Luke P

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Nov 1, 2020

Good foundational skills

By SAUL A M O

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Oct 19, 2020

This course is very good

By DEVENDRA V

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Jul 28, 2020

good course for practice

By Tahnoon M

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Jul 11, 2020

This course was awesome!

By Retvin P

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Jun 9, 2020

Very easy to understand!

By khikmafaris y

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May 18, 2020

good course for beginner

By Neha C

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May 15, 2020

It was very informative.