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

4.5
8,683 個評分
1,966 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

VC
2020年5月16日

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)

VS
2020年9月22日

This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!

## 1576 - Data Science Math Skills 的 1600 個評論（共 1,947 個）

2020年6月7日

Insightful course. Would recommend to anyone within the field.

2020年5月24日

It's great pleasure to enjoy such course from respected sir's.

2020年5月5日

Well informed and structured sample case approach to real life

2020年6月17日

Good Course to understand the Maths behind Machine Learning.

2020年6月10日

Great course, but hard to understand without math background

2020年4月20日

Last Week was bit confusing and not clear. Rest it was good.

2017年6月16日

Good Course. The probability section needs some improvement.

2020年11月3日

probablity part could be explained more with more examples.

2020年6月28日

very steep learning curve, but good info on lot of formulas

2019年2月7日

More exerciser required. Specially in probabilities theorem

2018年2月4日

The most fundamental course explained in the most easy way.

2017年9月17日

The Bayes theorem and binomial theorem needs more examples.

2017年8月23日

Would have liked a more advanced discussion on Probability.

2020年6月4日

Very nice course clear all basic and intermediate concepts

2020年5月12日

I learn so much basic topic ,so it's really helpful for me

2020年5月5日

Really good but wish week 4 lectures were bit more clearer

2020年4月13日

It was Indeed an Amazing Experience taking up this course.

2020年11月9日

Very interesting, but the overall acuracy is not optimum.

2020年6月13日

Experience was amazing, I got to learn lot of new things.

2020年3月21日

Could have spent more time explaining when to apply what.

2017年10月31日

2017年9月21日

still difficult to apply the theory to real life examples

2018年6月1日

More practice problems would have made the course easier

2018年3月9日

A great fast introduction into Data Science Math Skills.

2017年4月18日

Great course except for the instructor videos for week 4