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

4.5
stars
11,697 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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By YONGKY D P

Jul 28, 2020

Great

By Deleted A

Jul 19, 2020

great

By SAMEER K G

Jun 30, 2020

great

By Gajendrakumar S

Jun 25, 2020

great

By KCSIE

Jun 13, 2020

great

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Jun 11, 2020

Great

By Dhayaneshwar B

Jun 3, 2020

Good!

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May 16, 2020

Great

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May 12, 2020

great

By RASEL A

May 8, 2020

Great

By Kittisak L

Apr 28, 2020

Great

By chandan k

Apr 23, 2020

thank

By S. I

Apr 15, 2020

Super

By Andy T J L

Aug 7, 2019

-NIL-

By aiyane m

Jul 17, 2019

g

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a

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By Gustavo L R

Jan 27, 2019

Good!

By Оразаев А

Apr 4, 2024

good

By SIROJIDDIN N V O

Mar 1, 2024

Zoʻr

By Clash o c

Feb 28, 2024

good

By FIRDAVS_JUMAYEV_BEKZOD O

Jan 22, 2024

zo'r

By Jumanazarov K

Jan 21, 2024

Okay

By ZAYNIDDIN_MUXUDDINOV_ABROR O

Oct 15, 2023

Zo'r

By ABRORJON O A O

May 26, 2023

fine

By G'anisher A n

Apr 19, 2023

zo`r

By Diyorbek O

Apr 4, 2023

good