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学生对 Duke University 提供的 Data Science Math Skills 的评价和反馈

4.5
12,972 个评分

课程概述

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!...

热门审阅

AP

Apr 16, 2020

Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.Thanks a lot.

PS

Jul 22, 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.

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2126 - Data Science Math Skills 的 2150 个评论(共 2,902 个)

创建者 Priyadarshini S

Oct 25, 2020

THE COURSE WAS GREAT. AREAS OF IMPROVEMENT ARE MAINLY IN WEEK 4 CONTENT. MORE SOLVED EXAMPLES WILL BE MORE USEFUL TO THE STUDENTS

创建者 Dyandra P

Sep 16, 2020

Although I've already learned these but I had so much fun reviewing and gaining new insights on the materials! Thank you so much!

创建者 Fareez E

May 9, 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!

创建者 Rohit

May 24, 2020

This is a interesting course . I learned lot of new things from this course .This course will be beneficial for me for my future

创建者 Denise D

Apr 13, 2022

Week 4 definitely needs more applied examples, the quizzes were very hard.

The rest was a good refreshener of the math basics.

创建者 Juan N R A

May 4, 2020

Me gustarían mas ejemplos en el tema de probabilidades. Bayesian y Binomial.

Gracias por la dedicación y compartir conocimiento

创建者 Heather H

Apr 27, 2020

I enjoyed the class. I haven't taken probability in over a decade so it was rough learning it again. Thank you for the class!

创建者 Alefiyah F

Nov 24, 2020

Excellent course. I would recommend adding on more optional practise exercises for those who have haven't done this in a while

创建者 ayman m

Nov 1, 2020

probability section needs to be reviewed. i felt difficulties in learning and i went to khan academy to clear bayezian theorem

创建者 Eugenio P

Jun 7, 2020

The instruction is great in presentation however it is far too shallow for the depth of the questions expected on the quizzes.

创建者 Yuvraj M

Jun 3, 2020

The Course was structured pretty well! Like the tutors. More Support could have been offered for the last two modules though!

创建者 Saurabh C

Apr 12, 2020

Well taught. I felt Bayes Theorem could have been explained a little better. However, overall a wonderful course. Thank you.

创建者 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

创建者 Maks 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.

创建者 Jagdish R A

Apr 16, 2020

I understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on.

创建者 Mohamed M A E

Dec 4, 2017

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

创建者 Milad F

Jul 31, 2022

Great cours overal but, the probability sections needs more works. specifcly more explation through examples is required.

创建者 Shahrukh H

Apr 29, 2020

Should be rather more competitive from the 3rd week stage. Although the teaching was definitely interactive and engaging.

创建者 Birkaran S

Oct 25, 2019

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

创建者 Romain T

Jun 18, 2020

Good course for brushing up one's maths skills. I found the week 4 content quite challenging, but got there in the end!

创建者 GODBOLE K S

May 14, 2020

It was very awesome experience with coursera.it help me to clear my concept regarding with data science and math skill.

创建者 MONALISA P

Apr 27, 2020

One more week on Probability could have been better. Probabilty week felt a little rushed. Rest was awesome. Thank you.

创建者 Zhe X

Jun 11, 2017

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

创建者 Faisal H

Jan 27, 2023

A Good Refresher Course, It enabled me to see and understand the Maths behind the "Data Science and Machine Learning".

创建者 Andrew C

Jun 22, 2017

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