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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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1001 - 1025 of 2,586 Reviews for Data Science Math Skills

By ADITYA S

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Apr 27, 2020

Very Good Probability Questons

By pushpendrapal s b

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Mar 6, 2019

course is good , I learnd lot.

By Otalikova D M

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Aug 18, 2020

ooottaalliikkoovvaa@gmail.com

By Yutcelia C G F

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Aug 10, 2020

Well-explained course. Great!

By Julieth C M

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Jul 5, 2020

Muy completo e interesante!!.

By Yash B

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Jun 27, 2020

Personally loved this course.

By Vikrant K

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Jun 24, 2020

it was a wonderful experience

By CHRISTIAN R

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Jun 11, 2020

excelente me ha gustado mucho

By vishal v

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Apr 27, 2020

Excellent course very usefull

By Audi L

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Feb 28, 2017

A fantastic course for anyone

By Diksha R H

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Jun 11, 2020

It was a amazing experience.

By Chavda G N

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May 22, 2020

Good lecturer... Good spoken

By Krishna Z K

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May 10, 2020

The course is easy to follow

By Naerunchala N

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May 5, 2020

Teach easy good learn Thanks

By Le T L C

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Apr 28, 2020

Perfect course for beginner!

By Sunit K

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Sep 5, 2017

Awesome and love the quizzes

By Rami A T

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Mar 5, 2017

Very important Review course

By Mukhammad K

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Feb 10, 2017

good materials and questions

By Yao A E

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Jan 2, 2024

c'est vraiment exceptionnel

By melusi s

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Nov 16, 2023

Interesting and challenging

By Olesya W

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Aug 23, 2022

what a challenge! Loved it!

By Jenil K 2

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Mar 30, 2022

Outstanding amazing course.

By Jeff D

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Jan 23, 2021

4th week topic is very hard

By Christeen S

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Dec 3, 2020

Very Helpful as a beginner!