Chevron Left
Back to Data Science Math Skills

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

4.5
stars
11,908 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

BB

Invalid date

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

KC

Invalid date

Weeks 1-3 were quality. Week 4 was a little sloppy in the instructional videos and less clear than in Weeks 1-3. Overall, concise refresher of various mathematical subjects useful to data science.

Filter by:

901 - 925 of 2,635 Reviews for Data Science Math Skills

By Gopalakrishnan K

•

May 1, 2022

Thank you Sir! Gopalakrishnan Kumar!!!

By Javad Ä°

•

Oct 7, 2020

SUPER.I hope it will give me advantages

By Shehroze K

•

Aug 30, 2020

very interesting and informative course

By Prajwal V S

•

May 16, 2020

Good Experience and best skill to learn

By samarveer k

•

Dec 26, 2019

GOOD INTRODUCTION IN DATA SCIENCE MATHS

By robin

•

Feb 19, 2019

The probability part is worth learning。

By Raghab R

•

Jan 2, 2021

It is vary good for student to learn .

By MADHAVI M

•

Sep 13, 2020

very informative and knowledge gaining

By CHITYALA M

•

Aug 6, 2020

certificate downlod option not visible

By Youcef I Z

•

Jul 19, 2020

it's good to earn back my maths skills

By Youssef

•

Jun 29, 2020

Thank you! was easy and comprehensible

By vijay s

•

Jun 19, 2020

This is a good course for data working

By Kanhaiya K

•

May 27, 2020

You people made probability much easy.

By Haimanti B

•

May 23, 2020

It is a good work.pleasure to be here.

By sanjib k b

•

Apr 25, 2020

well taught by professor daniel egger.

By Andrew F

•

Nov 14, 2019

Great course! I really learned a lot.

By Bernd F

•

Mar 11, 2018

Very good learning experience. Thanks!

By Emin B

•

Aug 17, 2017

thank you that was awesome experiences

By Markus B

•

Sep 25, 2024

https://www.coursera.org/my-learning?

By عائشة ب ع

•

Sep 26, 2022

one of the best courses i have taken

By Md. S H E

•

Feb 13, 2021

Way too easy. Guess it's for kids. :)

By Onkar S

•

Oct 16, 2020

Best platform to learn cousres online

By jayesh p

•

Sep 12, 2020

its a good course to improve knowlege

By DIGANTA G

•

Aug 25, 2020

Good Course to brush up on my basics.

By ida a

•

Jun 30, 2020

it's really helpful and easy to learn