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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
34,056 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

AK

Mar 11, 2020

I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.Thank you.

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.

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6701 - The Data Scientist’s Toolbox 的 6725 个评论(共 7,176 个)

创建者 Caleb J

Feb 25, 2018

Not a lot of good information. Just introducing you to the programs being used.

创建者 عبدالحميد ع ع

Nov 29, 2017

all the content of the course could be a week of some course of specialiazation

创建者 JiHong K

Oct 21, 2017

Too simple and most contents are overlapped (already covered) in other sessions

创建者 fengming s

Mar 17, 2016

Upgrade to submit? That's meaningless. Especially for this fundamental course.

创建者 Max

Oct 2, 2017

It was good as an introduction , meanwhile its contents are little for 4 weeks

创建者 Calvin K

Feb 26, 2016

It's way to easy to be a separate course. It should be part of R Programming.

创建者 Andre A

May 27, 2020

Conteúdo é bom, mas o fato de ser dado por um robô torna a experiência ruim.

创建者 Marc m

Nov 10, 2019

This first toolbox module is all about setting up. Not much programming yet.

创建者 Charlie R

Jul 3, 2018

Decent overview, gave me some things to google. No real substance as of yet.

创建者 Amr A

Jun 15, 2017

I think this course needs to be much better in terms of adding more material

创建者 Doug W

Dec 29, 2016

Good overview. Helpful introduction to topics covered in the specialization.

创建者 Charlie C

Aug 24, 2022

Boring and very rote if you are at all familiar with any of these concepts.

创建者 Nikolai K

Nov 6, 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

创建者 Divyansh M T

Jul 27, 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

创建者 Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

创建者 Ian W

Aug 29, 2017

Easy course. Everything covered in this course can be found easily online.

创建者 Mohamed A

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

创建者 Hamza T

Aug 9, 2016

A great course. But I still think there is a lot of room for improvement.

创建者 Rajendra V

Feb 26, 2022

Computer voice over is not a great experiment; everything else is great!

创建者 MEHEDI H

Jul 1, 2020

Need more friendly lecture, that's why we can understand topics easily..

创建者 Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

创建者 Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.

创建者 Perruchoud A

Aug 13, 2016

Extremely useful info, but the material is too shallow to be satisfying.

创建者 Daniel R

Feb 7, 2016

It is a good course, however, I would have liked deeper knowledge in git

创建者 Caio L

Sep 12, 2017

Really basic, it's only necessary if you have no knowledge in the area.