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Data Science Math Skills(으)로 돌아가기

듀크대학교의 Data Science Math Skills 학습자 리뷰 및 피드백

4.5
2,239개의 평가
494개의 리뷰

강좌 소개

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!...

최상위 리뷰

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)

PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

필터링 기준:

Data Science Math Skills의 489개 리뷰 중 326~350

교육 기관: Nirupam S

Sep 17, 2017

The course is good for beginners. Although, more emphasis could have been placed on industrial examples but still the course is a great start for anyone

교육 기관: Carlos V

Feb 18, 2019

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in the past and also asses some voids in our knowledge of calculus and probability. Thanks!!!!

교육 기관: Hauwa A

Oct 24, 2017

Week 4 gets confusing as more examples could help explain concepts. Otherwise overall course is great for basic math skills for Data Science

교육 기관: Gary H

Jun 04, 2018

Introduction to some basic mathematical terms. Conducted in an easy-understand way. Not very clear explanation in the part of probabilities.

교육 기관: Phoebe ( Z

Feb 06, 2018

the material could be a little more challenging. If more vector/matrix material is introduced would be more helpful to the data scientists

교육 기관: Su M

May 11, 2017

Easy and suitable for beginners with high school math skills. If how the equations are deduced are introduced, it would be even better.

교육 기관: Duc T

May 31, 2017

Good materials. But examples from learning sections are a lot easier than problems in quizzes. More difficult examples would be great.

교육 기관: vignesh a

Sep 14, 2019

Week 1 - 5/5

Week 2 - 4/5

Week 3 - 3/5

Week 4 - 4/5

A good introductory course which could do better in explaining some concepts clearly.

교육 기관: Abdulrahman M

Sep 08, 2019

Every data scientist needs to know some statistics and probability theory. The amount of math you'll need depends on the role.

Thanks,

교육 기관: Luan d S

Dec 30, 2018

It's a excellent course with all of the basic concepts to start in the Data Science World.

Great regards and thank you for the course.

교육 기관: Vidya C

May 24, 2017

It was a good course for a beginner.But I think the proportion of the course allocated to probability is much less than it deserve.:)

교육 기관: Atsushi T

Sep 14, 2017

Very comprehensive and challenging - I feel a final quiz would be great but individually, very well though out content and questions

교육 기관: Mohd F E B A

May 09, 2019

Though that this course was too simple but actually it is quite an eye opening and refreshing for the last two topics. Well done!

교육 기관: Eman A

Jan 27, 2018

its very good course,,but i didn't mark 5th star because course need more excercises on each lesson special at probabilities

교육 기관: Maksym F

Jul 28, 2017

Thanks for course! Only advise I can give - change the name to "Basic Math Skills for Data science". Course is pretty easy.

교육 기관: Mohamed M A E

Dec 04, 2017

It is very good course but need to add more exercises (examples), reading materials in addition to more and longer videos.

교육 기관: Karan S

Oct 25, 2019

Well-described concise notes and if you do not understand anything, the author provides written notes with every lecture.

교육 기관: Zhe X

Jun 11, 2017

Good introduction course. It will be better if more contents and examples for calculus and probalility can be provided.

교육 기관: Andrew C

Jun 22, 2017

Quality instruction with clear explanation of concepts and relevant practice/test modules to check your understanding.

교육 기관: Greg L

Apr 18, 2018

no discussion or ongoing grade at least in the beta course. Generally pretty good, a little slow and simple to start

교육 기관: WANG T

Feb 10, 2018

Clear structure and typical case were applied in this course. However, hope the course material could be more detail.

교육 기관: Nguyen T T

Jan 01, 2018

The course is helpful both as a refresher and a introduction, although i would like to have more practice exercises.

교육 기관: Jaison A

Mar 21, 2017

Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.

교육 기관: Aman G

Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

교육 기관: Aishwarya K

Jun 25, 2018

I wished there were better examples and a little more in depth videos for week 4 since week 4 was very tough