Chevron Left
Back to Data Science Math Skills

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

4.5
stars
12,246 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

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!

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!!

Filter by:

1626 - 1650 of 2,708 Reviews for Data Science Math Skills

By 19BEC4106_ K A

•

Sep 12, 2020

Good

By Yash V

•

Sep 11, 2020

good

By Mochamad T A

•

Sep 3, 2020

good

By Dr. S R

•

Aug 19, 2020

nice

By Taniya D

•

Aug 16, 2020

Good

By Shahbaz A

•

Aug 7, 2020

fine

By Souhardya G

•

Aug 4, 2020

good

By Prasanga N D

•

Jul 31, 2020

Good

By Avinash A

•

Jul 29, 2020

Good

By 19L108 D R k

•

Jul 28, 2020

good

By Deleted A

•

Jul 28, 2020

Good

By Gaurav K

•

Jul 28, 2020

Good

By Bhalake S C

•

Jul 25, 2020

Good

By RAGHUVEER S D

•

Jul 25, 2020

good

By Kevin S

•

Jul 24, 2020

nice

By Sumeet J

•

Jul 22, 2020

nice

By Deleted A

•

Jul 6, 2020

Good

By Ashutosh M

•

Jul 6, 2020

Good

By A S

•

Jun 19, 2020

good

By Yogesh g

•

Jun 14, 2020

Hard

By Sivasakthivel S

•

Jun 14, 2020

Good

By Linyi S

•

Jun 13, 2020

Good

By Vajinepalli s s

•

Jun 13, 2020

nice

By Anusha N

•

Jun 12, 2020

good

By Barkha m

•

Jun 6, 2020

Nice