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

4.5
8,730 個評分
1,976 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!

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)

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226 - Data Science Math Skills 的 250 個評論(共 1,959 個)

創建者 Abhisek s

2020年5月1日

Course was designed in very lucid and effective manner. My only suggestion is to explain probability part in little slow and detail manner

創建者 Enes S

2020年9月3日

At first, I thought there is no need for me to take this course but at the end it was very useful for me. Especially the statistics part.

創建者 Megala j

2020年6月5日

Classes were beautifully structured. Only the final Bayes' theorem could have been more elaborate with more live examples. Need solutions

創建者 vivek m

2017年2月5日

Basic math course help to get revise all the high school concept. Even those who haven't any background on mathematics can get it easily.

創建者 Uzziel A P G

2020年7月22日

The lectures are well presented and the practice problems and graded quiz helped learners used the new knowledge learned in the lecture.

創建者 18BMA124_KAVERI S S

2020年6月10日

Very easy to learn.This course with good instructors ,increases my knowledge and at the same time it increases my data science interest.

創建者 Marlena A P

2020年1月12日

Very well structured and really helpfull examples. The videos are really easy to see and not boring at all. I really enjoyed the course.

創建者 Shigeki H

2019年12月15日

This course contains what you need to do your job more logically and would make your argument or opinion much reasonable and persuasive.

創建者 Yojana S

2019年1月31日

I have got various knowledge from it. We have learn various lesson s of math. I am thankful for the professor who teaches us this things

創建者 Kyle Y

2017年5月1日

I really enjoyed the course, and found it really useful- it has inspired me to continue on and study applied mathematics at university!

創建者 Vivek P K

2020年6月2日

Great course which covers every statics topic necessary for Data Science. It helps me to recall what I have learned during my masters.

創建者 Jeffrey G

2020年4月10日

Very challenging test at the last few chapters and it makes me think and think again which reinforces my understanding of each theory.

創建者 Shreyas

2019年3月28日

A Basic Introduction to Function Graphs and Probability. To ace data science interview (Math part), I feel the content is not enough.

創建者 Iqbal A E

2020年12月7日

This is nice basic math for IT based. I learn just a little bit from my college, but in this course , i learn more advance about it.

創建者 MIROTHALI C

2020年7月10日

very descriptive and elaborate explanation of concepts. But using blackboard a lot is kind of old fashion. More animations is needed

創建者 krish R

2020年6月29日

The course can be made more complex by adding more challenging questions and exploring each of the concepts in a bit more of detail.

創建者 Roopa S H

2020年5月22日

first i want to tell thanks becouse giving me that great opportunites and i learn manny things and it will help me to grow my future

創建者 VIRAJ P

2020年12月18日

it is a very good course to start from the beginning in data science I suggest everyone should take time to spend in this course...

創建者 Asif r m

2020年6月7日

Good n best ways of learning and also getting free certificate.i hope all the students will find it best and have learnt in detail.

創建者 Priyankanayakini

2020年7月8日

Data science and math skills is a very good course. Very interesting to learn and given a good knowledge. Thank you Courseera.

創建者 Dibyanshu S D

2020年5月1日

it was great and brainstorming session. In fact the probability session was a bit tough and tricky. Altogether a great experience.

創建者 Md A R

2020年4月8日

Good course outline and instructors are also well qualified. Would be better if they suggested some additional reading materials.

創建者 shruti b

2019年1月31日

I have learn many things from this course such as algebra, equations,and other math problems. It has given me many information .

創建者 Kehinde O

2017年8月24日

This is a great course for anyone who has little or no experience with elementary algebra and for those who might have forgotten.

創建者 Jonathan D M

2020年9月13日

The basics of math were explained in an easy to understand manner with relevant examples and extremely helpful course material.