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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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1901 - 1925 of 2,586 Reviews for Data Science Math Skills

By Ramasivaguru D

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Apr 5, 2022

Probability course was very challenging. It might need more explanations and applications to understand it better.

By Samata L

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Jul 9, 2020

Some lectures were not that interesting but the video companions are so well and the quizzes are very interesting.

By Rajeshkumar P

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Apr 10, 2020

Week 4 problems are so chalenging, Give some more reading refernce, practice reference, need more practice on tht

By Osama S

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Sep 22, 2021

second lecturer for the Bayes Theorem and Bionomial Theorem was not as easy to understand as the first professor.

By Atif I

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Mar 29, 2021

A little more elaboration and practice with examples may be given for probability, binomial and bayesian theorem.

By Ricardo M

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Mar 20, 2020

Would be great to have a chapter dedicated to relating the concepts learned with typical data science activities.

By Ashish T

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Dec 30, 2020

its a good course for data science student. This course help you to build your mathematics base on data science.

By laura m

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Aug 6, 2020

Pretty basic until the last module.

It has been very useful to remember a some maths that studied a long time ago

By CHRISTO F

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May 27, 2020

THE QUIZZES WERE AMAZING. IT CHALLENGED ME SO MUCH. BUT AT THE END I COULD GET BETTER AT MY ANALYTICAL THINKING.

By Alvaro S

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Apr 18, 2020

I liked the explanations, there are some errors that are corrected as comments that chould've been easily fixed.

By sam s

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Nov 11, 2020

Would have been good to have seen examples of how each math discipline works when integrated with Data Science.

By VRAJ B

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Apr 20, 2020

Extremely help ful for the beginner in data science

thank you coursera, Duke university and both the professors

By Andreas

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Mar 10, 2021

good explanation of principles with examples, could have more optional example videos for deeper understanding

By Lester H

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Jan 29, 2021

The text material associated with the instructional videos is very helpful in grasping the concepts presented.

By Jaison A

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Mar 21, 2017

Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.

By Lin L

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Nov 6, 2022

The probability section needed more worked examples.

Translating word problems into equations is a hard skill

By J. A H

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Sep 7, 2020

Really enjoyable course that taught me how much I still need to learn to truly understand probability theory.

By Wout D S

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Aug 7, 2022

+ Very well explained.

- Correct answers in the tests are sometimes missing numbers, which can be confusing.

By Aman G

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Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

By Aishwarya K

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Jun 25, 2018

I wished there were better examples and a little more in depth videos for week 4 since week 4 was very tough

By Ayda K

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Mar 14, 2017

Good course. I feel like Week 4 could have been explained slightly better but otherwise I really enjoyed it.

By John W

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Oct 28, 2021

I was really good up until the probability stuff. I wish it were more clear when to use which calculation.

By newksie

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Aug 30, 2020

Great Course content, but many formatting mistakes which made some questions difficult to understand fully.

By kickerbm0821

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Aug 24, 2017

Great course. For me the linear algebra part is too easy. But really learnt a lot about Probability Theory.

By Ramalingam R

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Jul 19, 2020

Some topics were slow; Final week on Bayesian theorem etc. should have been covered little more in detail.