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

4.5
2,140 個評分
479 個審閱

課程概述

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!...

熱門審閱

AS

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)

PS

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.

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76 - Data Science Math Skills 的 100 個評論(共 471 個)

創建者 Ankur K

Mar 01, 2018

It was wonderful course to do and content was good, but there are some improvement needed inside last chapter.

please add some more slides inside binomial and bayes ' theorems

創建者 PRATIk S

Feb 01, 2018

Good

創建者 ABDELMENEM S E

Mar 04, 2018

t

創建者 Blazej

Apr 02, 2017

Very condensed yet accessible material. Great invitation for further, more deep dive studies!

創建者 Veerabhadrappa K

Apr 01, 2017

Excellent course

創建者 Alireza G

Aug 27, 2017

I was looking for such a course that particularity covers the Math required for Data Science.

創建者 Praneet N

Mar 05, 2018

good one

創建者 Mykyta P

Sep 16, 2017

Great course! Thanks a lot!

創建者 Faraaz H

Feb 25, 2018

Nice course which could help one revise all studied at junior level.

創建者 jerry

Feb 27, 2017

Am glad and happy

創建者 Kent D J

Aug 09, 2017

This class was great. I really recommend it, especially if you are new to mathematical concepts.

創建者 Damian S

Sep 07, 2017

A very concise and well planned course. The notes were particularly helpful.

創建者 jyxdcr

Nov 20, 2017

easy

創建者 Daryna S

Aug 14, 2017

This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.

創建者 Benjamin L

Apr 26, 2017

A tremendously useful primer on the fundamentals of data science math. This course is a particularly good option for individuals who have seen some amount of calculus and algebra but haven't used those methods in a long while and need to review. Thorough, easy-to-understand material.

I would suggest to the course facilitators that they develop the provided lecture notes -- already a useful tool -- into a full-fledged text. I'm not suggesting something much longer than what they already have, but simply taking that document and adding a bit more rich content. While the notes are useful for more carefully studying the math being done in the lectures, even a bit of effort putting some pedagogy into the notes and combining them into a single document (which I did for the sake of printing) would create a hugely valuable resource.

創建者 Yudong

May 07, 2017

An enlightening course!

創建者 vimard v

Aug 16, 2017

Great course, many examples, good teachers

創建者 A

Nov 12, 2017

good

創建者 Mukhammad K

Feb 10, 2017

good materials and questions

創建者 Mehmet A U

Jan 06, 2018

Awesome!!!

創建者 Zito R

Jan 27, 2017

Great refresher course on the math used in data science!

創建者 Deleted A

Jan 22, 2017

I loved this class, the only one of it's kind and much needed, unless you particularly want to re-do your long forgotten high school and college math. It was nice seeing a Venn diagram again. I did have to supplement some of the material that was covered quickly with google searches, but filling in the blanks was quick and easy.

創建者 yjm

Jun 14, 2017

a good refresh course

創建者 Audi L

Feb 28, 2017

A fantastic course for anyone

創建者 little7dragon

Apr 18, 2017

Great Course!!!!!