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

4.5
stars
11,908 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

BB

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Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

KC

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Weeks 1-3 were quality. Week 4 was a little sloppy in the instructional videos and less clear than in Weeks 1-3. Overall, concise refresher of various mathematical subjects useful to data science.

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776 - 800 of 2,635 Reviews for Data Science Math Skills

By Jesús A M C

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Apr 14, 2020

Excellent course, specially the probability section

By Kristina P

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Jan 5, 2023

Great reaminder! Everyone should pass this course.

By irawati p

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Mar 27, 2022

Thank you for providing us with these knowledges.

By Vincent L C G

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Feb 18, 2021

Fantastic Course. It helped me level up with Math!

By Varsha P

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Sep 19, 2020

Excellent videos, great Trainer and happy learning

By Ivan R

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May 31, 2020

The best course for revising Math for Data Science

By Hannah R F

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May 13, 2020

It was a very good experience, covering every area

By Nemi C G

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May 1, 2020

i have learned some basic stuff better than before

By Victor G

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Apr 14, 2020

Good material with easy-to-understand explanations

By Kanwar S S

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Apr 10, 2020

Good course for beginners. Loved it. Good revision

By Shashank R

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Apr 5, 2020

Amazing course with clear understandable concepts.

By Anil K N

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Jul 5, 2019

GREAT MATH COURSE FOR A BEGINNER IN DATA ANALYSIS!

By Raul C

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Jul 11, 2018

Excelent vourse from the basics to advanced topics

By Hari S

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Mar 18, 2018

Good course. Initial practice could have difficult

By Ajie P

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Nov 6, 2023

Thank you so much Coursera and Duke University...

By Farhana h

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Sep 17, 2023

Wonderful course for the Journey of Data Science.

By Kanad B

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Nov 10, 2022

Great introduction to the basics of data science!

By Abhinav k

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Jul 26, 2020

KEEP IT DUKE PROFESSORS ....... COURSE IS AWESOME

By Shwe W T

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Jul 16, 2020

This course is very useful to me in my education.

By Satvik S

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Jun 4, 2020

really helpful to improve my mathematical skills.

By Gayathri S

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Jun 1, 2020

Great course!! understood well and learnt well !!

By Muthu N

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May 18, 2020

The Quiz questions were extraordinary. Well Done.

By José M P G

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May 3, 2020

It's good. The final part is somewhat complicated

By Shabab K

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Jun 1, 2019

Good course. Last quiz was extremely hard though!

By Pouria N V

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Nov 30, 2017

too easy for someone with engineering background.