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

4.5
stars
12,439 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.

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801 - 825 of 2,758 Reviews for Data Science Math Skills

By Hari S

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Mar 18, 2018

Good course. Initial practice could have difficult

By Ajie P

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Nov 6, 2023

Thank you so much Coursera and Duke University...

By Farhana h

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Sep 17, 2023

Wonderful course for the Journey of Data Science.

By Kanad B

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Nov 10, 2022

Great introduction to the basics of data science!

By Abhinav k

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Jul 26, 2020

KEEP IT DUKE PROFESSORS ....... COURSE IS AWESOME

By Shwe W T

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Jul 17, 2020

This course is very useful to me in my education.

By Satvik S

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Jun 4, 2020

really helpful to improve my mathematical skills.

By Gayathri S

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Jun 1, 2020

Great course!! understood well and learnt well !!

By Muthu N

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May 18, 2020

The Quiz questions were extraordinary. Well Done.

By José M P G

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May 3, 2020

It's good. The final part is somewhat complicated

By Shabab K

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Jun 1, 2019

Good course. Last quiz was extremely hard though!

By Pouria N V

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Nov 30, 2017

too easy for someone with engineering background.

By Colette W

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Aug 23, 2022

Great application of math and probability. I en

By Virati F K

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Jul 28, 2021

Very useful course, I learned a lot about Data.

By Suman K

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May 16, 2021

Great course to build your foundational skills..

By 程昱皓

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Aug 12, 2020

not bad for reviewing some of the basic concepts

By shivam k

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Jul 4, 2020

informative course and higly expierenced faculty

By Juan N R B

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Sep 5, 2019

Excellent! Very useful and simple to understand!

By Herbaut J P M

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Jul 14, 2019

Great expérience for me.

Thanks You

Herbaut Julien

By Phan Đ P

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May 19, 2019

A very helpful course for starting data science.

By Mike M

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Feb 6, 2019

It's very good to learn this course, so amazing.

By Ahmed G

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Jan 16, 2018

very rigorous and very helpful for math language

By Nauryzbek A

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May 20, 2022

Week 4 is too boring :) the other three is fine

By öykü a

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Oct 24, 2021

the solutions of quizes should be more detailed

By John I

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Aug 10, 2020

I have improved my understanding of probability