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

4.5
6,981 個評分
1,566 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)

##### VC

May 17, 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)

## 1426 - Data Science Math Skills 的 1450 個評論（共 1,555 個）

Feb 18, 2019

good subject matter choice; however, quality varied between the two professors. weeks 1-3 provided good clear lectures and enough practice questions; but week 4 had several confusing points in the lecture, then not enough practice. I really had to supplement my learning with outside videos and problems for week 4. but i passed the final test first time. thanks for narrowing down the maths needed for data science.

May 12, 2020

Lessons 1-3 are ok. Everything is explained well and you can make the tests easily. 4 is very difficult and despite many trials, I was not able to make it. And because of chapter 4 I suggest you rather take another course.

There is also a technical problem, because the formulas are displayed in java script, so it is not easy to understand how the formula looks like, if you do not know the script :(

Jun 19, 2020

The lectures are very short and simple. Sometimes the explanations are not explained thoroughly. Students without background on the subject will find it difficult to apply the concepts in actual problems like in the quizzes. I hope you can improve your content, discussions, and quizzes so students without background in advance math can enjoy your course. Thank you!

May 11, 2020

Helpful overview and review if it’s been a while since you taken stats and probability. But really needs more practice problems with explanations to practice through the workflow on the last two weeks. The formulas and calculations get pretty intense. They have printable handouts that go with all videos that were very helpful.

Sep 21, 2019

Keep in mind that this is meant to be an introduction to some of the math topics used in data science, it is not a comprehensive course. The course needs to include worksheets with practice problems for the students to practice. The instructors do not use enough real-world examples to demonstrate how the theory is applied.

Apr 25, 2020

je pense qu'il manque quelque définitions ,par exemple , pour dire que la probabilité d'un événement est égal à la somme de probabilités d'intersections de cet événement avec d'autres ,mais en fait on peut dire cela sauf si les autres événements forment un système complet d'événements. mais en général ça reste utile .

Apr 18, 2020

The course videos for the topics for Week 3 and 4 are not well explained. Even some of the questions in the quiz are not written in proper format. Please look into this and make changes to the course. Otherwise the syllabus of the course is well designed and the probability questions are of quite high standard!

Jun 22, 2019

Felt like the first 3 weeks were pretty good but the probability section needs a lot more detailed explanations and examples to make the information clear. For those that are already OK with this subject, it's probably fine but for those that haven't had much background in probability, this part was lacking.

Jan 17, 2018

First 2 weeks of the course is amazing, very good didactics. The second teacher does not use very good examples, and the thing starts to fill like old math classes, but overall is good. I will need to redo the last 2 weeks because i fill that I will not remember most of it so easy as the first 2 weeks.

May 27, 2018

Good for high level understanding of few of the concepts. But last week 4 tutorials are covered at very high level , it was quite difficult to understand probability topic without referring to other online tutorials. I wish more examples could be given in the tutorials to strengthen understanding.

Jul 25, 2017

The class is good. However, the second half of the class zips through concepts that need a lot more explanation than is provided. Moreover this class would benefit from an optional tutorial on how to input factorials into a calculator as the answers on the exam go to the 8th decimal place.

May 22, 2020

The first half is really well explained. However, the second part could be improved with a more detailed explanation rather than introducing the equation and jump straight to the problem. Also, I think the quizzes in the latter part are (too) difficult.

May 22, 2020

Concepts are not clearly explained in the video sessions. I had to seek some other you tube videos to get the concepts with clarity . Some of the Practice quiz feedback are not fully explanatory and required more outside reference to clear the doubts .

Nov 08, 2019

You guys need to give better practice examples and scenarios in Weeks 3 and 4. That being said, I think the courses you presented give a nice foundation. I'm going to practice on my own time finding problems of the subjects you've spoken about.

May 05, 2020

The course has issues later on - there is inconsistent notation, no provided worksheets, formula sheets, documentation, or summaries of any kind. At first this isn't a problem when the course is simple but is much more problematic later on.

Aug 02, 2020

Some really good course content, but a strange mix of levels/difficulty. I have some maths background so skipped most of the videos but using the notes and quizzes I still learned some new topics (like set notation and Bayes theorem).

Jul 12, 2020

It was nothing new and easy for me but if you have a gap in your study and forgot whatever you had studied in your school then this course is definitely for you to learn some math skills which is important for data science.

Dec 22, 2017

A good review of basic math skills, however I believed the "SUM RULE, CONDITIONAL PROBABILITY AND BAYES'THEOREM should be discussed much more in the last week module with more example and exercise. The 1,2,3 week are great.

Jul 12, 2020

The first 2 parts(weeks) were good and easy to grasp, but the last two were a bit advanced and needed more time to handle the concepts, but overall a good course in general, get more more practice before attempting quiz

Jul 19, 2020

The early videos are good. The videos toward the end were not as helpful for a person new to the subject. I had to look up other tutorials on youtube to understand the material enough to pass the quiz and final test.

Oct 18, 2017

I feel the probability portion of the course was too quick for the material covered. Yet the quizzes for the probability section were very demanding. It was difficult to successfully complete the probability quizzes.

Apr 25, 2020

The first three weeks are well explained, the last week is the most difficult and the professor does not provide examples. There are many mistakes in the quizzes and this seems to be done very haphazardly.

Aug 27, 2017

Broad coverage of topics in a compact course. Useful for those looking for a refresher course. Could be improved by explaining where in data science the chosen topics would be relevant to provide context.

May 17, 2020

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.

Feb 03, 2018

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.