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

4.5
stars
10,977 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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2026 - 2050 of 2,440 Reviews for Data Science Math Skills

By ALI E A T

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Dec 9, 2021

The last section needs more processing.

By Kleider S V G

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Aug 8, 2021

It is a good course to review concepts.

By Suyogya M B

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Apr 17, 2020

excellent course for beginners like me.

By Amir G

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Jul 11, 2019

Nice but It was obvious and easy stuff.

By Soumya R R

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Mar 11, 2019

Too good content and practice sessions.

By Dini L M S

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May 29, 2020

I'm so happy can follow this course :)

By Bekzhan K

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Sep 26, 2022

lack of exaples on learning process

By kranti k

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Dec 1, 2021

Understand Good basics in Probability

By Surote W

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Jun 20, 2021

week 4 need more detailed and example

By Ruchika S

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May 1, 2021

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By An H T

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Dec 10, 2020

I expected more from Duke University.

By Roy M K

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Dec 15, 2020

It's an awesome learning experience.

By Rajamanikam A

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Jun 30, 2020

Course Tutors are teaching nicely :)

By Barsha K

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May 5, 2020

Overall good, little tough on week 4

By Pheello M

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Apr 29, 2020

Good course and supporting materials

By Liming H

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Feb 3, 2021

Very useful course for it's purpose

By Đăng T

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Jul 14, 2020

very useful for building foundation

By Gua b

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Jun 9, 2020

the last unit is a bit confusing...

By Praveen S K

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May 15, 2020

Some concepts not explain properly.

By Sidharth S

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Apr 20, 2020

Thanks for this awesome course sir.

By Sandeep K

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Oct 8, 2021

Awesome course. Thank you coursera

By Rhea P

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Jul 5, 2021

Good course to brush up the basics

By Amanda N

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Jun 12, 2021

Perfect course to jog your brain..

By Cemal Ö

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Jun 19, 2022

Good for basic math and statics.

By MEKALA S

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Jan 30, 2022

EXCEPT WEEK 4 EVERYTHING IS GOOD

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