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學生對 杜克大学 提供的 Data Science Math Skills 的評價和反饋

2,207 個評分
491 條評論


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!...



Jan 12, 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)


Jul 23, 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.


401 - Data Science Math Skills 的 425 個評論(共 482 個)

創建者 Raghu R P

Jul 11, 2018

Very good refresher course on Probability

創建者 Amir G

Jul 12, 2019

Nice but It was obvious and easy stuff.

創建者 Soumya R R

Mar 11, 2019

Too good content and practice sessions.

創建者 Hein Z

Nov 06, 2018

Nice start math for Data Science

創建者 郑昕妍

May 06, 2017

very coherent class! Thank you!

創建者 saurabh

Nov 22, 2019

Please send the certificate

創建者 Vincent S

Sep 24, 2019

No answers for some tests

創建者 Jamal R

Apr 10, 2018

improve week 4 videos

創建者 Hans H

Aug 21, 2017

Overall good refresh

創建者 Шмаков А А

Aug 18, 2019

Для совсем новичков

創建者 Kiran M

May 05, 2018

A beginner's course

創建者 Daniel C

Sep 11, 2017

Very useful course

創建者 Anshul D

May 05, 2017

Very good course

創建者 Satyam G

Dec 07, 2017

way too simple.

創建者 Hector V

Aug 12, 2017

So far so good.

創建者 tubay g e

Nov 03, 2017

perfect course

創建者 Warunee S

Jan 27, 2019

Great course

創建者 Srikanth R

Jul 10, 2019

It was goos


May 28, 2018


創建者 Satyam T

Jan 22, 2017

nice one!

創建者 Ashish K S

Mar 11, 2019


創建者 aankitakaur

Aug 29, 2017


創建者 Amin A

Sep 04, 2019


創建者 Nagaraj A M

May 09, 2019


創建者 Susmito R

Jul 13, 2019

The first two weeks of the course were great! The instructor was very clear in his explanations and made the material very intuitive. The video companion pdf's were also very well written. But from the third week onward, when the other instructor took over, not only did the explanations suffer significantly, the video companion material also ceased to be of much help. He did not explain any of the intuition behind any of the formulas and he didn't even try to explain the intuition behind when and where the formulas would apply. I didn't take this course just to be given a bunch of formulas. I really wanted to understand the material because I knew these are foundational concepts that needed to be mastered. Khan Academy explains a lot of the material of weeks 3 and 4 much better. I really wish someone had explained how the version of the binomial theorem that was presented in this course is related to the traditional version that we learned in school while doing binomial expansions in algebra.