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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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12,972 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.

筛选依据：

2751 - Data Science Math Skills 的 2775 个评论（共 2,902 个）

创建者 Do B D

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May 30, 2017

The contents were ok, but the videos were a bit boring

创建者 Casimiro G

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Jan 21, 2023

The week 4 is too weak and needs much better material

创建者 Rafael B

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Feb 24, 2018

Lost if it is a basic or a intermediate level course.

创建者 Nathaniel L

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Dec 27, 2017

The materials could be more advanced for data science

创建者 Marco A

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May 1, 2020

This require more practical refernce to data science

创建者 Muhammad Z I N

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Jun 4, 2020

The probability part explanation is very confusing.

创建者 Ashish B

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Jun 30, 2020

Instructor was not so good but questions are tough

创建者 Bola T

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Jun 2, 2017

last week is not good at all i didn't get it all

创建者 Piyush G

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Sep 13, 2018

Probability concepts could be more descriptive.

创建者 Abhijay R

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Oct 23, 2021

The last topic was explained for shorter time

创建者 Pavel S

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Mar 31, 2020

I think some basic statistics should be added

创建者 Asma S

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Sep 8, 2021

Week 3 and Week 4 needs to be more in depth

创建者 SHOURYA Y

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Mar 8, 2021

The videos were a bit tough to understand.

创建者 LATIFF E

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Jan 23, 2021

The teaching does not feel very intuitive.

创建者 Ruben L

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Jun 19, 2020

La parte de probabilidad no esta muy clara

创建者 Shekh R

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Sep 18, 2020

Give right information about the subject

创建者 Dixit K

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Apr 29, 2020

It is good for refreshing your concepts

创建者 Colin X

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Jul 14, 2020

Last part, part 4 needs improvement.

创建者 ahmed s

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Nov 29, 2019

the lectures of last week r very bad

创建者 Cristian V

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Aug 29, 2022

strong beginning, weak ending.

创建者 THOTAKURA B

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Aug 24, 2020

It is not that much effective.

创建者 Binoy K

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Jul 5, 2020

T%his course is purely basic.

创建者 Sai

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Jun 19, 2020

good course but expected more

创建者 Aydar A

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Aug 28, 2017

too superficial to be usefull

创建者 Prasad K

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Jan 11, 2019

1st 2 weeks were very basic.