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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: 3976 - 4000 / 5,405 レビュー

by Filipe M

Aug 28, 2016

Good introduction to data science, however it should have more details and practical examples about Git.

by Eileen S

Feb 09, 2016

Super basic introduction. I liked the last section reviewing data science methods and conceptual ideas.

by Lee D

Jan 31, 2016

I think more detail statements are needed on PDF.

Because I'm not good at listening, so I studied by PDF.

by John E F

Dec 04, 2019

Excelente curso, porem diferentemente da descrição, existe legenda em português, apenas para um modulo.

by Satya P P

Oct 02, 2018

Structure, content and step by step practice was good. Interface to browse the courses could be better.

by Jay G

Mar 24, 2016

Good start, looking to dig in more, as I already have a background in stats data analysis and data viz.

by Vicent G

Jan 28, 2016

Quite simple. It could be more engaging.

When downloading PDF slides, links in them should be clickable.

by Brandon W

May 23, 2020

Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).

by Sanidhya S

Dec 21, 2018

Great cousre for starting in the data science since, it contains the installation and usage of tools .

by Danylo K

Sep 10, 2018

From the begining of the course thats difficult to catch structure if you are new to the Data science.

by Russ L

Apr 14, 2018

More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!

by Aliaa M A

Nov 30, 2017

Brief and Excellent! Content great for anyone getting into software development not just Data Analysis

by santiago R

Jun 30, 2017

Nice Course. Important to have a general idea about what is necessary and also useful for data science

by Matt S

Sep 05, 2016

great intro to stats concepts for data science and the programs. No real coding taught in this though.

by Victoria S

May 26, 2016

Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.

by Saul H

Jul 08, 2020

Really good. Just some minor issues with the automated voice and some typos. All in all great though.

by Nivedh R

Jan 15, 2018

Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.

by Siert A

Nov 03, 2016

Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.

by 徐凡洁

Oct 05, 2016

nice course, but it would be better if the teacher can give us more details more about git and github

by Karthikeyan M

Jan 28, 2016

Interesting to know about Data Scientist and the tools. Eagerly waiting to go through the next lesson

by Sachin U

Jan 23, 2016

Very informative course. The Quiz questions however may not be necessarily be in the course content.

by Abhishek S S

May 25, 2020

very nice Course for understanding basics of data science and Rstudio also help to understand github

by Kok H W

May 20, 2020

Not a fan of automated videos. However, they provided a read-up following the videos so it was good.

by Omar K

Jan 26, 2017

The course is a nice set up for tools and environments that you need for other data science courses.

by Jordi A B

Feb 10, 2016

It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.