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The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック

4.6
28,873件の評価
6,124件のレビュー

コースについて

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....
ハイライト
Foundational tools
(243件のレビュー)
Introductory course
(1056件のレビュー)

人気のレビュー

LR

Sep 08, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

SF

Apr 15, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

フィルター:

The Data Scientist’s Toolbox: 4751 - 4775 / 5,994 レビュー

by Yeshar H

Oct 24, 2016

I would've liked some practical assignments on using Git/Github.

by Francesca I

May 12, 2016

I think you have to say more about git commands and their syntax

by Victor N C G

Mar 26, 2016

I expected more detailed use of Github - otherwise great course.

by Syed A H R

Jul 10, 2020

Good But, I would prefer if a person teaches rather than a bot.

by Abdellah D E B

Jun 24, 2020

It's greate work, but i prefer the human voice than robot's one

by Rishabh

Jun 06, 2020

nice and difficult to deal with r and github for the first time

by Rohit k

May 29, 2020

Better than reading a book. worse than a classroom study though

by Chong C

May 10, 2019

Good for beginners, but the machine voice is a little annoying,

by Yunye H

Sep 08, 2018

A brief introduction into data science and commonly used tools.

by Paul J

Jun 26, 2017

Great intro; very basic; could have more content in one course.

by Olivier G

Aug 17, 2016

I would have liked more information and a broader understanding

by am

Apr 10, 2016

It shows the major tools to use in real life to program with R.

by clinton

Jan 23, 2016

This course is a great introductory course for data scientists.

by Tejas N

May 08, 2020

the robotic voice is the only set back but the course is great

by Mennatullah K M

Oct 18, 2019

I think this course is good but is not that hard as i expected

by Arthur C

Jun 27, 2019

Does the job to get started and makes you eager to learn more.

by Hemant J

Jul 04, 2018

Thanks for helping me out to complete this course successfully

by Katherine A A

Apr 02, 2018

Excellent for when you are starting in the Data Science world.

by Milton S

Aug 23, 2017

Too introductory, but useful to start with the right framework

by Anthony R

Jun 07, 2017

This course is a great introduction to the Data Science track.

by Ajay M S

Apr 16, 2017

Gave me a good introduction to basic Git and GitHub operations

by Sara G J

Apr 20, 2016

Debería estar mejor explicado como realizar el proyecto final.

by Мыров В

Mar 10, 2016

Too little information, i think course need to be a bit bigger

by B C H K

Feb 02, 2016

Good course to start your basic understanding of Data Science.

by Vikki G

Aug 05, 2020

Very good explanations but quite basic so good for beginners.