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学生对 Johns Hopkins University 提供的 The Data Scientist’s Toolbox 的评价和反馈

4.6
34,065 个评分

课程概述

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
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Foundational tools

(243 条评论)

Introductory course

(1056 条评论)

热门审阅

NB

Jun 2, 2017

Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.

NS

Aug 23, 2019

It would be helpful for absolute beginners who even have difficulty in installing programs like R and GitHub but otherwise it felt a bit too basic although informative with some of the Git commands

筛选依据:

1376 - The Data Scientist’s Toolbox 的 1400 个评论(共 7,177 个)

创建者 Paul-Nicolas K

Mar 2, 2017

Excellent introduction to Data analytics and computer sciences ! Easy to follow and pedagogical.

创建者 Apurv S

Jan 24, 2017

It is much needed course. Helps in setting the environment for smooth flow of the later courses.

创建者 Veronica F V M

Nov 17, 2016

I liked this course, I know it is basic but I found a lot of ineteresting things I want to learn

创建者 manuel c

May 13, 2016

Excelente! Gran Curso te da los conocimiento básicos y las herramientas necesarias para empezar!

创建者 Selcuk F

Jan 30, 2016

Great Introductory Course, strongly recommend anyone thinks to pursue their career in this area!

创建者 Deleted A

Jan 12, 2016

It is very intresting and the jobs of the instructors are interesting as well as amazing too! :)

创建者 Amar b M M

Oct 24, 2020

Except the voiceover is so dull, you can opt to read it though. The content is well structured.

创建者 Claude B

Oct 16, 2020

Well done and even if the "robot" voice is different, we get use to it and the content is good.

创建者 Raul R C L

Aug 24, 2020

Excellent course showing the basics of the tools that will be needed for applying Data Science.

创建者 Hillary H

Aug 2, 2020

Great pace, ideal for someone with little knowledge of Github for version control. Very helpful

创建者 Mario O A

Jul 12, 2020

I'm new to this. It was perfect for me. I'm very encouraged to continue learning more about it!

创建者 Salman A

Jul 7, 2020

It was a great, and well planned course. I specially love this new concept of automated videos.

创建者 Merilyn A

Jun 4, 2020

Excellent course. Well-structured and explained simply so even beginners can easily understand!

创建者 Sonali K

Dec 15, 2019

The modules are well-structured for anyone who wants to learn the fundamentals of data science.

创建者 Luiz E B J

Aug 13, 2019

É um bom curso introdutório que permite preparar os ambientes que serão necessários aos testes.

创建者 Esaú C

Jul 22, 2019

The course is great, i recommend for the people that beggining in Data Science. it´s very clear

创建者 Guilherme O

Nov 16, 2018

Great course to introduce topics about data science. Thank you guys for content and the ebooks.

创建者 Ji H W

Jul 12, 2018

It was an excellent tool for learning and understanding basic concepts of Data Science overall.

创建者 Mohammed A ( S G

Apr 16, 2018

Great course! Learned a lot in terms of not only the tools, but the nuance around Data Science.

创建者 Chetan T

Feb 6, 2018

Very nice program, it went on smooth. The content is good for the learners to easily understand

创建者 Shuang D

Nov 2, 2017

great introductory course for data science beginners! look forward to taking the following ones

创建者 Maria J M

Aug 7, 2017

They explain it too well that even a beginner like me can follow! Thank you to the instructors!

创建者 Rahmat H

Dec 17, 2016

Good course, very interesting. But, could you please make for audit purpose also can post quiz?

创建者 Thomas G

Apr 17, 2016

Very usefull, easy and comprehensive course about the different tools available for data cience