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

4.5
stars
9,302 ratings
2,111 reviews

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.\n\nThank 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!

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2001 - 2025 of 2,091 Reviews for Data Science Math Skills

By Piyush G

Sep 13, 2018

Probability concepts could be more descriptive.

By Pavel S

Mar 31, 2020

I think some basic statistics should be added

By SHOURYA Y

Mar 9, 2021

The videos were a bit tough to understand.

By LATIFF E

Jan 23, 2021

The teaching does not feel very intuitive.

By Ruben L

Jun 19, 2020

La parte de probabilidad no esta muy clara

By Shekh R

Sep 18, 2020

Give right information about the subject

By Dixit K

Apr 29, 2020

It is good for refreshing your concepts

By Colin X

Jul 14, 2020

Last part, part 4 needs improvement.

By ahmed s

Nov 29, 2019

the lectures of last week r very bad

By THOTAKURA B

Aug 25, 2020

It is not that much effective.

By Binoy K P

Jul 6, 2020

T%his course is purely basic.

By adapa m

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 27, 2020

Needs more statistics

By Elvin G

Oct 19, 2018

It is too low level

By Korkrid A

Apr 27, 2018

Good for beginners.

By Vikas G

Jun 17, 2020

Fantastic teaching

By PARDESHI R H

May 17, 2020

Very useful course

By Shanmuga P

Feb 23, 2018

Good!!

By MUTHU A P S

Jun 7, 2020

good

By Carolin K S

Jul 21, 2020

This class fails to give a single explanation as to how the math skills will apply to data science. The first three weeks are a nice basic explanation of some of the math that will be needed. If you haven't done coding before or have some background in coding, you will have no idea where this class is going to be applied. The fourth week is the worst explanation of probability you can imagine -- opaque derivations and almost no explanations. I do not recommend this class as it fails to address the "why" of the title -- how does math apply to data science.

By Dennis F

May 15, 2021

i passed all quizzes and exams at 100% most of them in one try.

presentations were a bit sloppy, and often i found i understood the concepts, but not how they were presented.

I did learn things from the course, but the experience could have been a lot better

especially week 4 was problematic, the bayesian probability and inverse probability was hard to understand from the videos or the notes alone, or in combination.

notes for one of the video had only notes for about the first half of the video, so no notes for the rest.