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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
26,493件の評価
5,527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

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.

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.

フィルター:

The Data Scientist’s Toolbox: 4026 - 4050 / 5,402 レビュー

by Waleed M

Jun 24, 2016

Nice course, but at the end it is just introductory course, so i am waiting for the coming one

by Joshua S

Apr 23, 2016

This was a great introduction to the tools. Just don't expect to actually do any analysis yet.

by Jeffrey C

Feb 11, 2016

Gives you the tools you need to learn the rest of the courses, by itself is completely useless

by AKSHAY M

Feb 22, 2020

It's a very nicely designed course which is very easy for beginners to start off with coding.

by Shreeraam

Jul 31, 2019

A great introduction to the necessary tools to kickstart data analysis through R programming.

by ANIRUDH J

Jul 29, 2018

Is a great course for beginners.Just wish it would have been designed to be more interesting.

by Alexis R

Nov 11, 2017

Excellent. Can you provide links of your PPT. The ones in the pDF are not clickables. Thank's

by Mari G F

Mar 24, 2018

Not a lot of practical application, but good conceptual intro with a little bit of practice.

by Christian L

Nov 26, 2017

Good presentation of information and stressed the importance of "hacking" and self-learning.

by Paresh D

Oct 28, 2017

push and pull of repositories should have been explained more clearly,rest course was great

by Chris D

Jun 03, 2017

A little incomplete as a standalone course. Really forces you to pay for additional courses.

by Elizio R d A

Mar 06, 2016

The course is great, I just think the course should has a little more content to be perfect.

by Ben W

Jun 17, 2020

Good introduction to the tools that will be used in the rest of the courses in this series.

by Hongxuan Y

Feb 05, 2020

This course would be quite helpful for those who step into data science for the first time!

by Aman K

Jun 05, 2018

Good course, can be better with some small tweaks here and there otherwise well structured.

by Nana A B

Jun 02, 2018

This course definitely gave me a great overview of what to expect in the data science field

by Matheus P S

Feb 12, 2018

Como curso introdutório das ferramentas muito bom. Achei um pouco longo desnecessariamente.

by Changlin Z

Aug 28, 2017

very good starting point for people does not have any background in stats and R programming

by ATHARVA G

Jun 07, 2020

peers reveiw should be removed rather than that something other assingment should be given

by Samin Y

Apr 26, 2020

The course was super easy but super effective. Thank COURSERA for this amazing experience.

by Matt K

Jun 10, 2018

Instructors could do more demonstrations to make things more clear. Other than that, fine.

by Gautam J

May 22, 2018

This is course teaches the basics and installation only but is very good for that purpose.

by Diego G

Feb 05, 2016

Me quedó un poco vacio lo de GIT, tuve que averiguar más por mi mismo, pero esa es la idea

by Sameera K

Feb 27, 2019

This course appeared to have some irrelevant material, but perhaps it'll be useful later.

by Philip T

Apr 14, 2016

A good introduction to the subject area. It would be nice to see more real-life examples.