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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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2301 - 2325 of 2,708 Reviews for Data Science Math Skills

By Rabiyatul A H

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May 20, 2020

Worth to refresh math skills

By Abdullah S

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Dec 8, 2024

not bad but very very basic

By Prayag S C

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Jul 23, 2020

Very interested course.

Nice

By Umashankar

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May 23, 2020

Nice course for a beginner.

By Anuj S

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May 12, 2020

fully satisfied with course

By Chhitij V

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Apr 30, 2020

Probability course was good

By Anushka T

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Apr 24, 2020

good course for a kickstart

By saurabh

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Nov 22, 2019

Please send the certificate

By David W

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May 8, 2022

Excellent. Thanks Daniel.

By SHUBHANKAR K

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Aug 19, 2020

Fantastic and elaborative

By Asmita G

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Jul 2, 2020

i want a certificate.....

By Deepak R

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Jun 19, 2020

this is just basic course

By Rituja C

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Apr 26, 2020

Course is very helpful 😊

By vincent s

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Sep 24, 2019

No answers for some tests

By 84_Siddhant K

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Oct 9, 2024

Good and helpful course

By opeyemi o

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Oct 22, 2021

Down to earth approach.

By Dr. M S

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Oct 24, 2020

Good preliminary course

By Vinothini S

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Jun 21, 2020

Yeah it's good to learn

By aswin j

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Jun 7, 2020

i learned data analysis

By Asif S

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Apr 28, 2020

Good refresher of maths

By Xiaoqiao X

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Feb 4, 2020

nice introduction class

By Ivan W H

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May 31, 2020

good for entry learner

By Piyush B

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May 15, 2020

This was A nice course

By Sandeep K Y

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May 14, 2020

Good contents to study

By Harshit C

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Apr 25, 2020

expanation is soo good