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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



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....
Introductory course
Foundational tools



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.


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.


The Data Scientist’s Toolbox: 3976 - 4000 / 4,394 レビュー

by James M

Feb 24, 2016

Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.

by Aritra D

Jul 24, 2019

A little more depth on R and R studio and the rest and more data driven projects would have been appreciated

by Leyla C

Feb 24, 2020

Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.

by Roman K

Oct 10, 2017

The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.

by Bill S

Apr 12, 2017

Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.

by Shawn O

May 28, 2016

Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.

by shrestha p

Jan 18, 2020

It was great to know new terms and tools used in data science. However, the course is mostly theoretical.

by Jensen K

Feb 08, 2016

Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.

by Simin X

May 06, 2017

It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.

by John J O G

Oct 28, 2016

Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.

by Abdullah M

Dec 11, 2019

Good course for supporting the rest of the specialization. However, it has very little use on its own.

by M S G

Feb 03, 2019

Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash

by Karan A

Jul 06, 2018

Course is good overall, but it could be more detailed and informative which is lacking at some topics.

by Adriana M M V

Mar 29, 2020

Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.

by Sourav P

Jul 29, 2018

One Could have introduced the basics of R in this course..The course was too easy..Even for beginners

by Hernan G M

Sep 27, 2017

Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.

by Chia D

Dec 11, 2019

The video content is great, but it tends to have zero relation to the content tested in the quizes.

by Deepankar G

Jun 02, 2016

Course doesn't seem to be of much use. Was not much informative. Only some information is relevant.

by Peter F

Apr 05, 2016

It was pretty good, but most of the information is rehashed briefly in the intro to R Programming

by Pavan

Feb 15, 2016

Course was good, nice introduction to data science and its branches. There was not much of depth.

by Arun J

Jan 03, 2019

Content is not found sufficient. Also order of the video series also requires some modifications

by Bill H

Mar 28, 2016

A necessary prerequisite for the other Data Science classes, but not really a standalone course.

by Nathalia S

Dec 18, 2019

I liked it because it helped me to configured the software that I will use in the next courses.


Feb 13, 2016

Good overview of existing tools but more information will be useful to dig into the data world.

by leo0807

Jul 03, 2019

I think maybe because I have computer science background, so I think this course is too easy.