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

4.5
stars
12,878 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

AP

Apr 16, 2020

Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.Thanks a lot.

PS

Jul 22, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

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1826 - 1850 of 2,860 Reviews for Data Science Math Skills

By Cherlagudem R

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Jan 1, 2021

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By RISHABH K

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Jun 17, 2020

Ok

By DEBABRATA S

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Jun 5, 2020

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By Wut H H H

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Apr 5, 2017

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By Joseph A V

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Aug 14, 2020

Relatively a good refresher course, although coming from Duke U I expected better. There are too many tweaks (lack of scaffolding) that need to be made from a pedagogical standpoint from weeks 3 and 4. Probably need to make it a 5-week course and not try to cram everything into week 4 just to finish the course. Also, the time limit to take the final test was way too short and needed to be set for at least an hour (problems 2 4 11 12 take at least 20 minutes between setting up probability doing calculations and checks). Also, too many glitches with answers coming up in computer code (Over & Over) which basically buries the learner and forces them to guess if they have no clue what the code means, including the anxiety and disorientation it causes during the final. Many times taking quizzes I felt like the problems were made more for a computer programming course than a refresher course. meant to re-sharpen math skills for data science.