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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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2051 - 2075 of 2,586 Reviews for Data Science Math Skills

By Deleted A

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Jun 26, 2020

Last Weeks concepts are good but not great, everything else was great

By Vrushabh S R

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Jun 16, 2020

Great Course with great instructor and Sufficient difficulty level...

By Shirish G

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Jun 10, 2020

Week 4 was difficult. Please provide solutions of week 4 graded quiz.

By Jesús M

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Mar 6, 2023

In summary, this course covers the necessary tools for data science.

By James M S

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Apr 6, 2020

Re-shoot the videos and re-word the quizzes and this can be a 5 star

By deep r s

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May 28, 2019

Course contained simple maths, algebra, summation, mean and variance

By Vomini R

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Jun 25, 2022

first three weeks were great, 4th week concepts were not much clear

By Ravindra G

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Jun 9, 2020

Very well designed with plenty of examples for better understanding

By Vivien P

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Nov 28, 2018

Great course to be back on tracks with mathematics and probability.

By maya s S

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Sep 27, 2021

The course focuses on the basics, helpful in revisiting the basics

By Elbert B

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Aug 29, 2021

Need more readings and sample practice especially on Probabilities

By Alman G

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Aug 19, 2020

Really is through a provoking course, as how many ways to estimate

By Saurabh S

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Jul 15, 2020

Overall, a good course. Could do with some more detailing, though.

By N A S R

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Jun 16, 2020

this was nicely designed course,and made me re learn many concepts

By Tanmay S

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May 28, 2020

This is a great course to start with for Data Science Mathematics.

By BogdanC

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Nov 19, 2019

great course, would be great to have a follow-up with more content

By Abel N

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Dec 29, 2022

Good lectures but last section lectures and readings not in depth

By Tochukwu I

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Apr 4, 2022

The course is really worth the time spent.

Thanks You very Much..

By Kaung M W Y

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May 10, 2020

The quizzes are hard compared to the explanations in the videos.

By Fulvio C

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Oct 24, 2019

It's a very intersting training in order to refresh your memory.

By Yiwen G

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Jul 28, 2017

A little bit easy if you have solid high school math background.

By RUTVIK D

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May 22, 2020

Good explanations and brief presentation of Important concepts.

By Navratan S

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May 12, 2020

I have enjoyed this course and learn about data science skills.

By Gina L

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Dec 17, 2017

the course overall was good -- the probability section was hard

By Andrea V

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Dec 11, 2017

Good introduction to a few concepts that permeate data science.