Chevron Left
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
26,328件の評価
5,477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: 4976 - 5000 / 5,363 レビュー

by Hamza T

Aug 09, 2016

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

by MEHEDI H

Jul 01, 2020

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

by Vishesh k

Jun 16, 2018

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

by Abhey K

May 27, 2017

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

by Perruchoud A

Aug 13, 2016

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

by Daniel R

Feb 07, 2016

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

by caio l

Sep 12, 2017

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

by Mitchell S G

Nov 12, 2016

Audio on videos was sometimes unclear. Course content was interesting.

by Nate D S

Jun 26, 2017

Mostly auditory discussion of concepts. Not so much visual or hands-on

by Aditya C

Jan 05, 2019

Very basic...One must do the entire specialization to make any sense.

by Rupert

Aug 31, 2017

Very basic. Probably unnecessary for anyone with some experience in R

by isha v

Aug 12, 2017

Please include some optional Quizzes/Assignments also for practising.

by Prasen M

Apr 17, 2017

Very basic introductory course. Looking forward to the other modules.

by Juliana N

May 12, 2016

The instructions for using git and git hub left a lot to be desired.

by Revanth T

Feb 15, 2016

Very Basic Course. Doesn't require the time that was allotted to it.

by Matthew K

Mar 11, 2016

Probably more useful for someone with no background in programming.

by Arslan R

Feb 09, 2019

good for introduction. The sound quality is low. Can be shortened.

by TOKPLONOU D R

Nov 22, 2017

Ne présente qu'un ensemble restreint des outils du data scientist.

by rotem n

Sep 13, 2016

too easy,

i wish we had more things do submit so we will learn more

by Haojun S

Sep 12, 2016

The introduction of how to use github is undetailed in my opinion.

by Rakesh

Apr 10, 2016

Too simple. Personally feel this can be clubbed with R Programming

by Kalle H

Oct 11, 2017

OK introduction to specialisation but now very useful on its own.

by Luca C

Nov 14, 2016

Not really specific, just a broad indtroduction to data analysis.

by Chris B

Aug 25, 2017

I was a fan but I loathe the fact you cannot review the quizzes.

by Christian C

Mar 01, 2017

Good for a beginners course, could be a little more challenging.