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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

4.5
stars
21,630件の評価
4,326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
Introductory course
(1056件のレビュー)
Foundational tools
(243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.

AM

Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.

フィルター:

The Data Scientist’s Toolbox: 3826 - 3850 / 4,197 レビュー

by Craig G

Jan 27, 2017

A good intro to the tools, but for anyone with prior programming experience unnecessary

by Debanjan D

May 25, 2019

Okayish course. This course will give you an introduction in RStudio and Data Science.

by João P S

Sep 07, 2017

Too few activities for the time allocated. I completed this course in 4 periods of 2h.

by Danyal F B

Jun 08, 2017

I think the project became very confusing since no examples were done in the lectures!

by Seckin D

May 20, 2016

I think this class is best for academic people. I did not find what i was looking for.

by John Y

Jul 08, 2017

This could be wrapped into one of the other courses since its just environment setup.

by Ryan C G

Jan 18, 2017

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

by Ankush K

May 31, 2017

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

by Drake O N

Mar 17, 2017

Good starter setup. Looking forward to the technical portion of the Specialization.

by John P

Aug 24, 2017

peer review was sporadic, had to redo several assignments based on language barrier

by Joao o

Dec 31, 2019

It`s too introductory. The methodology with an IA voice it`s not comfortable yet.

by Ivan S

Jan 12, 2016

highly recommended for newbs in any kind of development, otherwise waste of time.

by Sudarshan C

Jan 08, 2016

The course was very limited, it should have been combined with Introduction to R.

by Antonio M

Dec 05, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

by Caleb J

Feb 25, 2018

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

by عبدالحميد ع ع

Nov 29, 2017

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

by JiHong K

Oct 21, 2017

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

by fengming s

Mar 17, 2016

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

by Max

Oct 03, 2017

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

by Calvin K

Feb 26, 2016

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

by Marc m

Nov 10, 2019

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

by Charlie R

Jul 03, 2018

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

by Amr A

Jun 16, 2017

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

by Doug W

Dec 29, 2016

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

by Nikolai K

Nov 06, 2017

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