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

4.5
2,442 個評分
545 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.

## 151 - Data Science Math Skills 的 175 個評論（共 548 個）

Jan 20, 2020

This course helped boost my confidence in the field of data science!

Feb 25, 2018

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

Dec 19, 2019

The course is very basic and easy to understand with many example.

Nov 09, 2019

Step by step course! Perfect for beginners. I highly recommend it.

Nov 23, 2019

Good refresher course with all basic concepts explained very well

Jan 23, 2019

Apr 15, 2018

great course to refresh your math skills in data science projects

Jan 26, 2018

right course to brush up on mathematical skills for Data science.

Jul 26, 2017

Impressive way to explain basic concept. Really a good refresher.

Feb 01, 2020

Very good and concise introduction to Probability and Basic Math

Sep 20, 2018

very good lecture and easy so very easy to understand the course

Mar 18, 2017

Good course to cover all the basic maths related to data science

Jun 22, 2019

It's very basic and very suitable to new comers in data science

Jan 21, 2018

Module is well-planned for both the beginner and professional.

Feb 11, 2018

A useful course with all basic math knowledge you should have!

Apr 04, 2020

Awesome course,loved the quizzes especially of 4th week quiz.

Jan 28, 2018

Excellent course and lecturers have presented the Ideas well.

Apr 28, 2017

Instructors made this subject so much easier for me to learn!

Apr 05, 2020

In-depth explanation, I wish I had studied maths under you.

Aug 19, 2017

Very well structured course for beginners. My fav is week 4

Feb 03, 2019

Nice Course, Looking for specialization bundle on this one

Jun 20, 2017

Very good course, can't wait for the more advance classes.

Nov 15, 2019

wonderfully designed course for refreshing my math skills

Sep 20, 2017

It was a great oppotunity to get involved in math skills.

Apr 06, 2020

Perfect Course for getting a head start in Data Sciences