Chevron Left
Back to Data Science Math Skills

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

4.5
stars
11,697 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

RS

May 5, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.

Thank you for a great class!!

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!

Filter by:

1126 - 1150 of 2,594 Reviews for Data Science Math Skills

By GANDU P

•

May 13, 2020

Good and interesting

By c s s

•

May 4, 2020

love the instructor!

By Matthew W

•

Nov 15, 2018

nice course, thanks!

By Zuni M

•

May 14, 2017

Highly recommended..

By Bazarbaeva N

•

Nov 25, 2023

Bazarbaeva Nilufar

By Jolmurzaev B

•

Nov 22, 2023

Baymurza Jolmurzaev

By Saida O

•

Mar 30, 2023

Beynazarova Gulnoza

By Rr Y K B

•

Sep 4, 2021

A very good course!

By N K M

•

Mar 26, 2021

very well explained

By MOHIT P

•

Nov 9, 2020

Very helpful course

By Min M

•

Aug 17, 2020

Excellent course!!!

By Ayan C

•

Jul 30, 2020

Very Good Course!!!

By Moses P

•

Jun 27, 2020

Coool, a refresher!

By SINGH S M

•

Jun 4, 2020

It's very awesome👍

By Eyal A

•

May 31, 2020

easy to unjderstand

By Shu E W

•

May 28, 2020

Easy to understand!

By Samantha C

•

May 1, 2020

Perfect! Thank you.

By ASHUTOSH S S

•

Apr 22, 2020

excellent teaching

By Harshit S

•

Dec 12, 2019

Very nice content!!

By Lau C C C

•

Apr 21, 2018

thank you very much

By Venkata K V M

•

Jul 3, 2017

Good for Beginners.

By Nitish K

•

Jun 13, 2017

Good Content

Thanks

By Amanda Z

•

May 26, 2017

a rewarding journey

By Lorena C

•

Feb 12, 2024

Excelente curso!!!

By Baxtiyarov A

•

Jan 20, 2024

Baxtiyarov Azizbek