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

4.5
stars
12,242 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

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.

Thank 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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2201 - 2225 of 2,708 Reviews for Data Science Math Skills

By Sudha S

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May 12, 2020

I learn so much basic topic ,so it's really helpful for me

By Sonal G

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May 5, 2020

Really good but wish week 4 lectures were bit more clearer

By Aravindan G

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Apr 13, 2020

It was Indeed an Amazing Experience taking up this course.

By Maia M

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Nov 9, 2020

Very interesting, but the overall acuracy is not optimum.

By Khan F B

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Jun 13, 2020

Experience was amazing, I got to learn lot of new things.

By Steven Y

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Mar 21, 2020

Could have spent more time explaining when to apply what.

By Xueli J

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Oct 31, 2017

课程很适合不太擅长数学的学习者，内容浅显易懂，但是概率部分，讲得太过简单，可以对重要概念多进行剖析，多举一些例子。

By Sasha L

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Sep 21, 2017

still difficult to apply the theory to real life examples

By Terri B

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Jun 1, 2018

More practice problems would have made the course easier

By Jennifer M

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Mar 9, 2018

A great fast introduction into Data Science Math Skills.

By Mohamed M A M

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Apr 18, 2017

Great course except for the instructor videos for week 4

By Lisda L

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Jun 2, 2020

I hope detail reading can have example at video, thanks

By Ishmael M (

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Sep 10, 2019

Explanations need to be at the same level as assessment

By kavi a

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Dec 16, 2017

EveryThing is okey but probability session is not good.

By Sattorova M I q

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Nov 21, 2024

This is very useful course , I will recommend everyone

By CARLOS A O G B

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May 4, 2023

Algunos de los quiz vienen incorrectas las respuuestas

By Kushal K R

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May 21, 2020

Very useful and uses this knowledge to improves better

By Sheikh U U

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Apr 15, 2020

Perfect foundation course for maths skills enhancement

By Adrian N

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Jan 7, 2021

It's a good recap for the mathematical skills needed.

By ilhamds 1

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Dec 12, 2020

Good class

very happy can learn from other university

By Mohit K

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Jun 2, 2020

This course helps in probability, Binomial, Sets etc.

By Guillermo A R N

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Jan 30, 2021

Weeks 1-3 Perfect!, Week 4 lectures need to improve.

By ayush y

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Apr 12, 2020

It provides very good knowledge and in very easy way

By Mohammed A

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Aug 19, 2024

it was good. but graded quizzes were kind of tough.

By Santiago G B

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Jul 2, 2020

Grat lessons but lack of examples during de videos.