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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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926 - 950 of 2,594 Reviews for Data Science Math Skills

By Abhishek S

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Jun 28, 2017

Good to revise mathematical concepts

By OZODBEK S T O

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Oct 26, 2023

Kompyuter sohasini chuqur o`rganish

By NARGIZA J T

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Sep 14, 2023

мне очень нравится. Просто классно

By Sikandar H

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Sep 8, 2023

I learn good skill from this course

By Ritesh K

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Sep 20, 2022

I learned a lot from this course .

By Wint K K M

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Nov 11, 2020

I really love to learn this course.

By Harsh K

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Sep 10, 2020

It was really nice experience

Thanks

By neha k

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Sep 3, 2020

to the point and good for beginners

By Md. R Q S

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Aug 3, 2020

Amazing Course, AMAZING INSTRUCTORS

By nandhinisubbu A

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Jul 7, 2020

The course is interesting and easy.

By Damrongsak K

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May 29, 2020

THIS COURSE IS SO GOOD FOR BEGINER.

By Sigit P

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May 29, 2020

Thanks Coursera and Duke University

By Akshita p

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May 20, 2020

Great opportunity come and Chase it

By KHANNA K R

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May 14, 2020

QUIZZES ARE AMAZING AND SO THE MOOC

By Prince B

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Apr 1, 2018

Amazing Course and amazing Teachers

By Deepti K

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Dec 11, 2017

Great course and highly recommended

By Glenn L

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May 23, 2017

Great Primer for Data Science Math!

By Anthony J

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Jun 15, 2023

It is very essential course for ML

By Raj S

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Mar 26, 2022

Very good course and thanks a lot.

By Manoj K

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Oct 6, 2021

Good learning material and topics.

By Sujatha J

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Sep 20, 2020

learnt many new things . THANK YOU

By Rahul K

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Jul 9, 2020

Very good and easy way of teaching

By Estee L

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Jul 8, 2020

Great review of Maths fundamentals

By Padma R

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Jun 24, 2020

Very Good course for the beginners

By Sanigaram s

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May 21, 2020

Very happy to complete this course