Chevron Left
Back to Data Science Math Skills

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

4.5
stars
12,416 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

AP

Apr 17, 2020

Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.Thanks a lot.

PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

Filter by:

2626 - 2650 of 2,750 Reviews for Data Science Math Skills

By Shekh R

•

Sep 19, 2020

Give right information about the subject

By Dixit K

•

Apr 29, 2020

It is good for refreshing your concepts

By Colin X

•

Jul 15, 2020

Last part, part 4 needs improvement.

By ahmed s

•

Nov 29, 2019

the lectures of last week r very bad

By Cristian V

•

Aug 29, 2022

strong beginning, weak ending.

By THOTAKURA B

•

Aug 25, 2020

It is not that much effective.

By Binoy K

•

Jul 6, 2020

T%his course is purely basic.

By Sai

•

Jun 19, 2020

good course but expected more

By Aydar A

•

Aug 28, 2017

too superficial to be usefull

By Prasad K

•

Jan 11, 2019

1st 2 weeks were very basic.

By Vijay G

•

Jul 12, 2020

Great mathematical analysis

By Snigdha G

•

Oct 13, 2020

Can I get a Certificate?

By Hugh J

•

Sep 28, 2020

Needs more statistics

By Elvin G

•

Oct 19, 2018

It is too low level

By Korkrid A

•

Apr 28, 2018

Good for beginners.

By Vikas G

•

Jun 17, 2020

Fantastic teaching

By PARDESHI R H

•

May 17, 2020

Very useful course

By Qilichov J S o

•

Feb 16, 2024

toshkent

By Ibrohim A

•

Feb 12, 2024

Yaxshi

By Shanmuga P

•

Feb 23, 2018

Good!!

By Axrorkulova S

•

Dec 14, 2024

Yomon

By MUTHU A P S

•

Jun 7, 2020

good

By Umida A

•

Jan 24, 2025

No

By Kalpana M

•

Aug 23, 2022

n

By Johnny

•

Aug 23, 2021

Actually the lessons from first three weeks are really basic (junior to senior high level), and sometimes I can't find any strong relationship with data science. And the fourth week is about probability theorem including the marginal/joint probability and bayesian theory without introducing other fundamental concepts, which could make the student quite confused sometimes.

There are several typos by the first teacher, which most are all corrected but quite disturbing. And the handwriting of the second professor is sometimes sloppy. I'd rather check the "video companion" before taking the class. BTW, they are really good and concise to summarize the concept and understand what the professors are talking about.

About the quiz/exam, most are good with explanations. But a lot of question require electronic calculator. Some question do not provide basic value of number like log(2) or which is quite annoying.

It's not good as imagine, but it does not take much time to finish.