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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
21,643件の評価
4,328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: 3876 - 3900 / 4,200 レビュー

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.

by Mikołaj G

Jul 02, 2019

Good course, but in 4 weeks you will get only basics of basics.

by Akash G

May 08, 2018

Course is good but I personally feel that course lacks content.

by Aldy S D R

Feb 19, 2018

I have a problem with the sound. That quality is so bad I think

by ANURAG D

Sep 26, 2017

The course is way too basic and can be completed within 2 hours

by Marcio H M

Sep 01, 2016

This one is just a warm up for the Data Science Specialization.

by Douglas P

Jun 27, 2016

It's a good preview, but very little is actually learned here.

by Ja-Eun L

Jun 06, 2018

Not sure it can constitute as one course - was helpful though

by SONDECK L

Oct 13, 2016

Interesting, but could be improved with further applications.

by Jia Z

May 22, 2016

Not much content for this course, can be done in a few hours.

by Pablo G

May 14, 2016

great content, a little long course for the provided content

by William E

Feb 14, 2016

Very basic if one has already worked with software before.

by Pedro J H M

Nov 06, 2017

A brief and easy introduction.

It should not be mandatory.

by jhalak g

Oct 10, 2017

would like to have more detailed and interactive sessions

by Jacob P

Jul 01, 2019

Seems to be somewhat useless in terms of actual content

by Anandwade N

Feb 25, 2018

give you good basic for data science and tools required

by Joshua K

Jul 05, 2017

Pretty Basic, but helps get you in the swing of things.

by PRABHAT K

Jun 09, 2017

Good for understanding tool and how to work with Github

by Avi C

Jul 20, 2016

Just an intro and learning a bit about Git and Git hub.

by Victoria M

Mar 14, 2016

Doesn't provide a strong enough base for R Programming.