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

4.5
stars
2,199 個評分
490 條評論

## 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.

## 376 - Data Science Math Skills 的 400 個評論（共 482 個）

Nov 28, 2018

Great course to be back on tracks with mathematics and probability.

Nov 19, 2019

great course, would be great to have a follow-up with more content

Oct 24, 2019

It's a very intersting training in order to refresh your memory.

Jul 28, 2017

A little bit easy if you have solid high school math background.

Dec 17, 2017

the course overall was good -- the probability section was hard

Dec 11, 2017

Good introduction to a few concepts that permeate data science.

Apr 22, 2017

probability theory was a bit fast but otherwise it was awesome!

Oct 30, 2017

Great course, good balance between simplicity and complexity

Jun 16, 2017

Good Course. The probability section needs some improvement.

Feb 07, 2019

More exerciser required. Specially in probabilities theorem

Feb 04, 2018

The most fundamental course explained in the most easy way.

Sep 17, 2017

The Bayes theorem and binomial theorem needs more examples.

Aug 24, 2017

Would have liked a more advanced discussion on Probability.

Oct 31, 2017

Sep 21, 2017

still difficult to apply the theory to real life examples

Jun 01, 2018

More practice problems would have made the course easier

Mar 09, 2018

A great fast introduction into Data Science Math Skills.

Apr 18, 2017

Great course except for the instructor videos for week 4

Sep 10, 2019

Explanations need to be at the same level as assessment

Dec 16, 2017

EveryThing is okey but probability session is not good.

Sep 21, 2019

Great introduction / refresh to math & probability

May 17, 2017

Muy buen curso como base para el analisis de datos

Mar 31, 2018

great introduction and refresher to maths skills

Aug 29, 2017

The first three chapters are relatively easy.

Oct 26, 2019

A veces las explicaciones no son tan claras