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

4.5
8,680 個評分
1,965 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

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!

RS
2020年5月5日

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!!

## 476 - Data Science Math Skills 的 500 個評論（共 1,945 個）

2020年5月11日

Really good course, basics are clear now, enjoyed doing this course.

2020年1月20日

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

2018年2月25日

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

2020年10月21日

Great review to update on DS Skills for those who need a refresher.

2020年10月1日

The video, video companion, and exercise all really helpful for me.

2020年7月15日

This is a beautiful course that goes a long way in decision making.

2020年7月12日

This is an excellent course. It inhanced my skills in Data Science.

2020年8月3日

Good course to clear basic concepts of mathematics and probability

2020年7月20日

It's Very good course and i completed very nicely thanku Coursera

2020年6月30日

The method of teaching was very good. I like videos,quizzes ...etc

2020年5月17日

A very interesting data science course provided by duke university

2020年4月30日

I just completed it in 1 day, had fun completing it successfully !

2019年12月18日

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

2019年11月8日

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

2020年8月14日

Excellent course , and it is refreshing ! i highly recommend it.

2020年7月25日

Fantastic course for build math skill to enter data science world

2020年5月28日

The course content is very efficient and flexible, ease to learn.

2020年5月25日

it was useful , as some of the probability concept was new for me

2020年5月11日

Helps me to review mathematics knowledge quickly and efficiently!

2019年11月23日

Good refresher course with all basic concepts explained very well

2019年1月23日

2018年4月15日

great course to refresh your math skills in data science projects

2018年1月26日

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

2017年7月26日

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

2020年8月4日

The Course was well structured and easy to understand. Thank you