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

4.5
stars
9,593 ratings
2,179 reviews

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)

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.\n\nThank you for a great class!!

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1801 - 1825 of 2,178 Reviews for Data Science Math Skills

By Aditya R S

Aug 2, 2021

Great course, will give you great insights

By milly

Aug 20, 2020

Good but need more informative information

By Monish P

Jun 8, 2020

Good it was perfect for beginners like me.

By Faizia M

Sep 4, 2020

This is helpful for gaining a knowledge..

By P C

Aug 12, 2020

The second part was a bit short and fast.

By SAROJ K S

Jun 16, 2020

its nice to understand the logic of math.

By PATHLOTH P K

May 18, 2020

Teaching and explainations are quite good

By Raghuram P

Jul 11, 2018

Very good refresher course on Probability

By Shreyas M S

Jul 11, 2020

Week 4 content is not explained properly

By Taisa V

Jun 6, 2020

It was great introduction to math world.

By Akash S

Jun 5, 2020

all is good but improve probability part

By Saira M

Apr 4, 2020

This is really very beneficial for me...

By Kleider S V G

Aug 8, 2021

It is a good course to review concepts.

By Suyogya M B

Apr 17, 2020

excellent course for beginners like me.

By Amir G

Jul 11, 2019

Nice but It was obvious and easy stuff.

By Soumya R R

Mar 11, 2019

Too good content and practice sessions.

By Dini L M S

May 29, 2020

I'm so happy can follow this course :)

By Surote W

Jun 20, 2021

week 4 need more detailed and example

By Ruchika S

May 1, 2021

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By An H T

Dec 10, 2020

I expected more from Duke University.

By Roy M K

Dec 15, 2020

It's an awesome learning experience.

By Rajamanikam A

Jun 30, 2020

Course Tutors are teaching nicely :)

By Barsha K

May 5, 2020

Overall good, little tough on week 4

By Pheello M

Apr 29, 2020

Good course and supporting materials

By Liming H

Feb 3, 2021

Very useful course for it's purpose