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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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12,984 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

PM

Sep 16, 2017

Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.

KC

Oct 20, 2020

Weeks 1-3 were quality. Week 4 was a little sloppy in the instructional videos and less clear than in Weeks 1-3. Overall, concise refresher of various mathematical subjects useful to data science.

筛选依据：

2401 - Data Science Math Skills 的 2425 个评论（共 2,903 个）

创建者 Mohammed M

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May 5, 2020

thx you i have learned alote from this Coutsera...

创建者 Claudia R R

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Apr 17, 2020

Good course. But course material could be improved

创建者 fabio J

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Sep 21, 2019

Great introduction / refresh to math & probability

创建者 Jaime M

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May 16, 2017

Muy buen curso como base para el analisis de datos

创建者 Ali N

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Apr 13, 2020

Overall, the course was good, but I expected more

创建者 Anurag K V

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Feb 2, 2022

It was a good experience...I enjoyed it totally.

创建者 Gilmar N

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May 28, 2020

It lacks some more problem solving explanations.

创建者 SACHIN N P

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May 19, 2020

this course is useful to get the logic of maths.

创建者 James M

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Mar 31, 2018

great introduction and refresher to maths skills

创建者 Myo T H

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May 24, 2020

Probability Course is difficult to understand

创建者 Joshua C

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Aug 29, 2017

The first three chapters are relatively easy.

创建者 John R

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Jul 18, 2022

the probability section was kinda ridiculous

创建者 Subrata M

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Dec 5, 2021

Probability part is not very well explained.

创建者 Odhiambo N

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Nov 25, 2021

It was awesome learning from Duke University

创建者 Muhammad A M

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Jul 1, 2021

The explanation is kind of hard to uderstand

创建者 Ro

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Dec 6, 2020

Long but very informative course to work on!

创建者 Anshul v

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May 30, 2020

interesting and learning more inside course.

创建者 Lei H

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Apr 26, 2020

Good examples and illustration. Good tests.

创建者 Belen R R

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Oct 26, 2019

A veces las explicaciones no son tan claras

创建者 Aditya R S

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Aug 1, 2021

Great course, will give you great insights

创建者 milly

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Aug 20, 2020

Good but need more informative information

创建者 Monish P

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Jun 7, 2020

Good it was perfect for beginners like me.

创建者 Faizia M

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Sep 4, 2020

This is helpful for gaining a knowledge..

创建者 P C

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Aug 12, 2020

The second part was a bit short and fast.

创建者 SAROJ K S

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Jun 16, 2020

its nice to understand the logic of math.