# 学生对 杜克大学 提供的 Data Science Math Skills 的评价和反馈

4.5
8,722 个评分
1,973 条评论

## 课程概述

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!...

## 热门审阅

VC
May 16, 2020

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)

RS
May 5, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.\n\nThank you for a great class!!

## 1851 - Data Science Math Skills 的 1875 个评论（共 1,954 个）

Jan 12, 2021

Final probability section is very confusing with no support from the instructor.

Jan 11, 2021

Explicações rápidas e não 100% claras e exatas. Exemplos um tanto quanto toscos

Dec 23, 2020

The course is not explained as I was expecting. Graded question is very tough.

Jul 14, 2020

A good platform for online study material and best experience teaching methods

Jun 10, 2020

Take this course as a review but not to learn the data science skills needed

Nov 16, 2020

first half of course explained very well; not so for second half of course.

Mar 1, 2017

The material is very useful, however, the second teacher is not the best...

Sep 6, 2020

Week 4 is poorly designed. Concepts are not clear. Please redesign it.

Sep 8, 2020

Course lacks many details especially differentiation and integration

May 10, 2020

The course topics were good. But the video lectures were not good.

May 7, 2020

probability was not taken properly and many portions are missing

Jan 26, 2018

It is more of an "appetizer" than a whole self-contained "meal".

Jul 29, 2020

is a good class but is hard for me I will try again but not now

May 7, 2020

The probability part (Week 4) was disastrous. But rest is okay.

Jul 1, 2020

The last section is much harder than the previous sections.

Apr 17, 2020

it required more content for data science mathematics

May 30, 2017

The contents were ok, but the videos were a bit boring

Feb 24, 2018

Lost if it is a basic or a intermediate level course.

Dec 27, 2017

The materials could be more advanced for data science

May 1, 2020

This require more practical refernce to data science

Jun 5, 2020

The probability part explanation is very confusing.

Jun 30, 2020

Instructor was not so good but questions are tough

Jun 2, 2017

last week is not good at all i didn't get it all

Sep 13, 2018

Probability concepts could be more descriptive.

Mar 31, 2020

I think some basic statistics should be added