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

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12,982 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.

筛选依据：

851 - Data Science Math Skills 的 875 个评论（共 2,903 个）

创建者 Ahmed G

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Jan 15, 2018

very rigorous and very helpful for math language

创建者 Nauryzbek A

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May 20, 2022

Week 4 is too boring :) the other three is fine

创建者 öykü a

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Oct 24, 2021

the solutions of quizes should be more detailed

创建者 John I

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Aug 10, 2020

I have improved my understanding of probability

创建者 Pradeep

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Jul 4, 2020

Thank for my basic making my basic fundamentals

创建者 Theodoros A

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Jun 11, 2020

Very good course,with step to step explanation!

创建者 Anikesh J

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Apr 22, 2020

Best learning platform for improving my skills.

创建者 MUHAMMAD M M

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Apr 14, 2020

The course is very educational and well taught.

创建者 王婷婷

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Feb 19, 2019

exactly what I need. not too hard, not too hot~

创建者 Icy J

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May 15, 2024

Great Course! Really tests you to the maximum.

创建者 Javier I S R

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Sep 25, 2023

breve pero denso y preciso muy bien articulado

创建者 Muhammed E B

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Dec 27, 2021

It is the thing I've been looking for years...

创建者 aishwarya c

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Jun 9, 2021

but I did not receive my temporary certificate

创建者 박정훈

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Sep 22, 2020

It was really helpful for my basic math skills

创建者 Jonathan A

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Jul 13, 2020

Provides great foundation for journey into AI!

创建者 Aditya S

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Jun 27, 2020

a must try course to test your maths knowledge

创建者 DHANANJAY I H

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Jun 10, 2020

The Course was awesome to preparation for GATE

创建者 Manish P

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Mar 11, 2019

This is awesome in refreshing your math skills

创建者 Karthik B

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Sep 16, 2018

Very Good Course to kick start on probability.

创建者 Glory B

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Feb 26, 2025

Nice and essential refresher for Data Science

创建者 Didde P K

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Jun 24, 2023

Thank you Duke University it helped me a lot.

创建者 Armando A V B

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Sep 19, 2021

Excellent experience to refresh some concepts

创建者 sam c

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Jul 30, 2021

Well explained. Thanks to the two professors.

创建者 David T

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May 21, 2021

I discovered areas which I should learn more.

创建者 Skvs U

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Jun 14, 2020

good course and its good for mathematics also