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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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13,002 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

BB

Nov 25, 2022

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

SP

May 29, 2020

Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.

筛选依据：

826 - Data Science Math Skills 的 850 个评论（共 2,905 个）

创建者 Kanwar S S

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Apr 10, 2020

Good course for beginners. Loved it. Good revision

创建者 Shashank R

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Apr 5, 2020

Amazing course with clear understandable concepts.

创建者 Anil K N

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Jul 5, 2019

GREAT MATH COURSE FOR A BEGINNER IN DATA ANALYSIS!

创建者 Raul C

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Jul 11, 2018

Excelent vourse from the basics to advanced topics

创建者 Hariharasudhan G

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Mar 18, 2018

Good course. Initial practice could have difficult

创建者 Ajie P

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Nov 6, 2023

Thank you so much Coursera and Duke University...

创建者 Farhana h

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Sep 17, 2023

Wonderful course for the Journey of Data Science.

创建者 Kanad B

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Nov 10, 2022

Great introduction to the basics of data science!

创建者 Abhinav k

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Jul 26, 2020

KEEP IT DUKE PROFESSORS ....... COURSE IS AWESOME

创建者 Shwe W T

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Jul 16, 2020

This course is very useful to me in my education.

创建者 Satvik S

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Jun 3, 2020

really helpful to improve my mathematical skills.

创建者 Gayathri S

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Jun 1, 2020

Great course!! understood well and learnt well !!

创建者 Muthu N

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May 18, 2020

The Quiz questions were extraordinary. Well Done.

创建者 José M P G

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May 3, 2020

It's good. The final part is somewhat complicated

创建者 Shabab K

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Jun 1, 2019

Good course. Last quiz was extremely hard though!

创建者 Pouria N V

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Nov 30, 2017

too easy for someone with engineering background.

创建者 Colette W

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Aug 22, 2022

Great application of math and probability. I en

创建者 Virati F K

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Jul 28, 2021

Very useful course, I learned a lot about Data.

创建者 Suman K

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May 15, 2021

Great course to build your foundational skills..

创建者 程昱皓

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Aug 12, 2020

not bad for reviewing some of the basic concepts

创建者 shivam k

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Jul 4, 2020

informative course and higly expierenced faculty

创建者 Juan N R

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Sep 5, 2019

Excellent! Very useful and simple to understand!

创建者 Herbaut J P M

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Jul 14, 2019

Great expérience for me.

Thanks You

Herbaut Julien

创建者 Phan Đ P

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May 19, 2019

A very helpful course for starting data science.

创建者 Mike M

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Feb 6, 2019

It's very good to learn this course, so amazing.