Chevron Left
返回到 Data Science Math Skills

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

4.5
9,054 個評分
2,048 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
2019年1月11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)

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!!

篩選依據:

1876 - Data Science Math Skills 的 1900 個評論(共 2,028 個)

創建者 Ashish T

2020年5月17日

The classes from week 1-3 were really good but the week 4 content was very confusing to learn. I had to look online to actually understand what was actually being taught.

創建者 Neha B

2018年2月3日

the course was really good. I just hope that we can get more practice questions in between the lectures so that we can understand the concept more precisely and deeply.

創建者 B L

2020年10月18日

Good course, but week 4 lecture video quality not as good as the preceding 3 weeks.

In my opinion, probability course in week 4 needs further lectures and examples.

創建者 Naveen K

2020年5月25日

The course would have been better if little more elaboration would have been done for the final week but nevertheless it was a wonderful course to have completed.

創建者 Madara I

2020年4月6日

In lot of places formulas is not shown in tests. Last section about probability had really hard questions in tests, more examples in lessons would be better.

創建者 Marie r

2020年10月20日

I had a hard time with the quizzes in the fourth week and could not find help in the given information. But i really enjoyed the focus on correct notation

創建者 Deleted A

2020年6月25日

The probability module, i.e. Chapter 4, was explained very obscurely and I needed to spend extra time looking for information to understand the concepts.

創建者 Arvind A P

2020年6月25日

First 3 weeks were quite easy and everyone will get it but for the 4th week concepts are not explained properly and very tough problems added for quiz

創建者 Sujoy D C

2019年1月19日

Overall it's a good one. In Math part I liked it a lot but in Stat I think Prof should explain a bit more in depth and the content is not good enough.

創建者 Traci B

2020年6月12日

I would like to see more useful tools like Excel, real world examples, practice exercise. Weeks 1-3 were great, Week 4 module needs some real work.

創建者 Roger V

2020年6月18日

I expected more from the course, like better presentation (slides or something like that) and the first 3 weeks are much more basic than I expected

創建者 Yonax L

2020年6月2日

Quizzes are way more difficult and different than what was taught in the lecture videos and readings. (This apply the most to the last week module)

創建者 Francisco G

2020年9月28日

Explanations for last two modules are somewhat confusing. I had to consult other materials and read discussion forums in order to understand.

創建者 Stephanie M

2020年7月5日

Modules 1-3 were great. But the 4th module on probability was not only very difficult but I finished the course still not understanding.

創建者 Antonio M H

2019年2月7日

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

創建者 Leon L

2017年12月12日

it's the foundation for data science, but these contents are too simple. I think it's not enough for a good data analyst.

創建者 Shah F B

2020年7月5日

Statistics and probability part is a bit difficult to grasp.

Anything that can be done to make it easier would be great.

創建者 phung s

2021年3月16日

Probability and Function sections are too hard to understand

Exercise is sometimes so confused and seems wrong answers

創建者 Martino V

2017年5月29日

a good selection of topics, but way too formula based rather than understanding based, especially in the second half.

創建者 Felix H

2020年3月30日

Some of the quiz questions have mathematical errors (e.g. inside of a log cannot be negative) or are quite unclear.

創建者 Manish G

2019年9月26日

The last module could have been done better. More examples to be included for explaining probability problems.

創建者 Leen J

2020年8月15日

the first two weeks were brilliant, but I had a really hard time comprehending the 3rd and 4th week material.

創建者 Paola G

2020年8月15日

Thee explanation of week 4 was not comprehensive and the quizzes were too complicated for what was covered.

創建者 Ammar E M

2020年4月14日

I notice that the quizzes questions not reflect 100% to what we got already !, However, the course great