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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
32,491件の評価
6,933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
2017年9月7日

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
2020年4月14日

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: 5226 - 5250 / 6,822 レビュー

by Paresh D

2017年10月28日

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

by Chris D

2017年6月3日

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

by Elizio R d A

2016年3月6日

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

by Sanele K

2021年3月13日

A very good course that will well prepare you for future courses you'll take in the future.

by Saad B M A

2020年8月27日

Amazing experience I got from this course. It is a perfect intro to the data science world.

by Tanya S 2

2020年7月18日

Good content. Easy Accessibility. Clear and precise learning. loved learning this course :)

by Ben W

2020年6月17日

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

by Hongxuan Y

2020年2月5日

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

by Aman K

2018年6月5日

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

by Nana A B

2018年6月2日

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

by Matheus P S

2018年2月12日

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

by Changlin Z

2017年8月28日

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

by ATHARVA G

2020年6月7日

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

by Samin Y

2020年4月26日

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

by Matt K

2018年6月10日

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

by Gautam J

2018年5月22日

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

by Diego G

2016年2月5日

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

by 谢雳雳

2021年8月19日

Very good material!The machine generated course videos speak a little too fast to follow.

by Sameera K

2019年2月26日

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

by Philip T

2016年4月14日

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

by Claudia Y P

2016年2月24日

Gives a good intro to Data Science and makes sure you get the essential tools downloaded.

by Enrique O

2020年12月13日

Excelente curso, bastante accesible para quienes no estén en el mundo de la informática.

by KATHLEEN M B

2020年11月3日

Course is full of good information. The instructions could be just a bit more detailed.

by Stanislav G

2020年7月10日

There are some parts of the course especially on week 1 and 2 that are too introductory.

by michael s

2020年2月10日

Great course to get started with R Studio and Version control that actually makes sense.