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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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976 - 1000 of 2,586 Reviews for Data Science Math Skills

By MaheshKrishna C

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Sep 17, 2019

Good Content and well Structured

By Azmat J

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Mar 7, 2019

It is a great course , Thank You

By Umar I A

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Aug 18, 2018

Its awesome, I really enjoyed it

By Yusupov A

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Nov 10, 2023

Zor menga yoqdi Yusupov Azizbek

By Ä°smet Ä°

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Aug 13, 2023

Easy to start and very helpful.

By Teddy S

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Mar 11, 2022

This course is very interesting

By Naing Z A

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Jul 20, 2021

The course is very nice for me.

By Gabriela F

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May 17, 2021

Very enjoyable, keep the notes.

By Kasba D

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Feb 8, 2021

Very good learning material ...

By Madhumitha . T

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Nov 27, 2020

Thank you it was very useful...

By Shabana M

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Jul 27, 2020

Awesome and its really helpfull

By Dr. S K S

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May 27, 2020

Very well designed for everyone

By 57 M M R

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Apr 22, 2020

I enjoyed the course very much.

By Μάνος Γ

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Oct 17, 2018

Amazing lectures helped a lot !

By Durai N

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Jan 17, 2018

Two thumps up - a great course!

By SUXROB_HAQNAZAROV_YUSUF O

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Nov 30, 2023

Haqnazarov Suxrob Yusuf o'g'li

By Gabriela C M

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Apr 24, 2022

Excellent introduction course

By Malka R

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May 31, 2021

It is a great course to start.

By Prabath B J

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Oct 23, 2020

I learned mathematical skills.

By NITHIK V K

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Sep 30, 2020

very nice course and excellent

By Prathamesh M

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Jul 6, 2020

Very good course for beginners

By Munnurisridharvandana

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Jun 2, 2020

Its nice course and intresting

By Prem C

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Jun 1, 2020

Really good i get new concepts

By Svs p

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May 25, 2020

Nice practice and participated

By Raval M P

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May 23, 2020

Gud Course i get more knowlege