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

2,430 個評分
544 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.


176 - Data Science Math Skills 的 200 個評論(共 543 個)

創建者 Zito R

Jan 27, 2017

Great refresher course on the math used in data science!

創建者 harika y

Feb 13, 2019

I have enjoyed the course and refreshed my mathematics

創建者 Angel T

Apr 03, 2018

great course, it helps me a lot in my current position

創建者 Tushar H J

Dec 18, 2017

Basic Revision of all concepts of probability and sets

創建者 Peng C

Jun 26, 2017

very good course. clearly explained and good examples!

創建者 Angshuman B

Jan 14, 2018

This is a good learning course and nice to go through

創建者 Akhil E

May 14, 2019

Excellent course to refresh some basic math concepts

創建者 Shashank R

Apr 05, 2020

Amazing course with clear understandable concepts.

創建者 Anil K N

Jul 05, 2019


創建者 Raul C P

Jul 11, 2018

Excelent vourse from the basics to advanced topics

創建者 Hari S

Mar 18, 2018

Good course. Initial practice could have difficult

創建者 Shabab K

Jun 01, 2019

Good course. Last quiz was extremely hard though!

創建者 Pouria N V

Nov 30, 2017

too easy for someone with engineering background.

創建者 Juan N R B

Sep 05, 2019

Excellent! Very useful and simple to understand!

創建者 Herbaut J P M

Jul 14, 2019

Great expérience for me.

Thanks You

Herbaut Julien

創建者 Phúc P

May 19, 2019

A very helpful course for starting data science.

創建者 Mai V X

Feb 06, 2019

It's very good to learn this course, so amazing.

創建者 A.Gamal

Jan 16, 2018

very rigorous and very helpful for math language

創建者 王婷婷

Feb 19, 2019

exactly what I need. not too hard, not too hot~

創建者 Manish P

Mar 11, 2019

This is awesome in refreshing your math skills


Sep 17, 2018

Very Good Course to kick start on probability.

創建者 Arun J S D

Jan 17, 2020

This course was good and refreshed the basics

創建者 Archana T R

Jun 10, 2019

Pretty good revision of basic maths concepts.

創建者 David A S J

Jun 18, 2017

Very good course to remember thing about math

創建者 Tran D Q

Apr 01, 2020

Very nice introduction to statistical work!