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

4.5
stars
2,197 個評分
489 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.

## 351 - Data Science Math Skills 的 375 個評論（共 481 個）

Jul 01, 2017

Some of the assignments are not well covered by the material, I have to check with additional material.

Jul 20, 2019

the course was great but the last week was so hard and the instructor didn't explain the subject well

Sep 18, 2017

Good refresher course. The course instruction would definitely benefit from some real world examples.

Aug 31, 2017

The last part is a little bit confusing, I think there should be more introduction about why is it.

Aug 21, 2017

Would definitely recommend this course as an introduction or refresher to Data Science Math Skills!

Jul 03, 2017

Can be make still better and more descriptive content with more examples in the instruction videos.

Jan 25, 2017

Suitable for high school students. For a University student it can be easily finished in 1-2 days.

Aug 04, 2017

Good course, to really brush up basic Math. It would be worth to go bit deeper into derivatives.

Sep 14, 2019

A pretty good course, though the second half wasn't explained as intuitively as the first half.

Jul 06, 2017

Really great for the algebra. Statistics was harder and needed more reading around the subject

May 07, 2017

it is a good course for beginner.Most of the lectures are informative and easy to understand.

Mar 09, 2019

Good intro or refresher, but needs more concrete examples in the probability theory section.

Sep 03, 2017

Very helpful course for those who want to pursue their career in Data science and Analytics.

Jan 08, 2019

A very basic introduction of math. You can use this course to recap the relative knowledges

Mar 06, 2018

The course is short. It had better if you design a Data Science Math Skills specialization.

Mar 04, 2018

Pretty basic stuff, but a good refresher. I wish the course spent more time on probability!

Sep 25, 2018

Great course for beginner. But this course need some improvement at week 4 material!

Sep 20, 2017

The second half of Week 4 was good. Rest of the weeks were pretty simple.

Jan 16, 2018

The guys are clearly very well across their stuff but don't act like it.

Dec 28, 2019

Curso que aborda de forma breve mas muito eficiente o conteúdo proposto

Jun 24, 2019

first 3 weeks very good. the 4th week, on probablity, is very confusing

Jun 02, 2017

The course is pretty good! It would be better if it had more exercises.

Dec 30, 2018

Introduction to the basic knowledge preparation of college level math.

May 29, 2019

Course contained simple maths, algebra, summation, mean and variance

Nov 28, 2018

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