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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
33,152件の評価

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....
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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

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.

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.

フィルター:

The Data Scientist’s Toolbox: 6501 - 6525 / 6,979 レビュー

by Bhupen P

2021年7月22日

Need more practice in R programing, Github, commit, branching, adding text, making directory

by Maciej M

2018年2月18日

some information was interesting but in general I don't think it was crucial for learning R.

by Benny B E

2017年8月1日

If you don't know any thing about data science, good introduction, otherwise a wast of time.

by Yves-André G

2017年5月27日

A very simple course, focussed on installing the correct tools on your computer to learn R.

by Migdonio G

2017年2月11日

Too little material for 4 weeks. All this could've been written in a PDF instead of videos.

by Mark P

2020年10月11日

the computer voice is very hard to handle.

low production value of the course in that part.

by Kapeesh

2020年7月26日

Video lectures where TTS, not at all engaging. Thankfully, text material was well written.

by Shahrooz

2016年7月22日

Overall the course content is good, but the power points are not engaging and interactive.

by Mantra B

2020年6月27日

Very Basic level. A little difficult to stay focused without having an instructor around.

by Sadanand U

2018年8月19日

Very basic, may be a bit more use cases on Git would have been useful. But that's just me

by Uian S

2017年11月23日

Few content for an entire course. I think this one could be together with R Programming.

by Ali A F A N

2020年4月12日

Wasn't as good as I expected, but still I learnt from it, I can say it's above average.

by Andreas L

2017年12月3日

I am aware that this is the introduction to this topic but it was a bit long-drawn-out.

by Juan J E

2017年10月22日

I was already familiar with some content. it was a good starting point for may training

by Craig G

2017年1月27日

A good intro to the tools, but for anyone with prior programming experience unnecessary

by Debanjan D

2019年5月25日

Okayish course. This course will give you an introduction in RStudio and Data Science.

by João P S

2017年9月7日

Too few activities for the time allocated. I completed this course in 4 periods of 2h.

by Danyal F B

2017年6月7日

I think the project became very confusing since no examples were done in the lectures!

by Seckin D

2016年5月20日

I think this class is best for academic people. I did not find what i was looking for.

by kheman g

2020年8月5日

This is a very basic of the course where I learned so much about the different tools.

by John Y

2017年7月8日

This could be wrapped into one of the other courses since its just environment setup.

by Ryan C G

2017年1月17日

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

by Ankush K

2017年5月31日

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

by Drake O N

2017年3月17日

Good starter setup. Looking forward to the technical portion of the Specialization.

by Yash D

2020年3月24日

the course is good but the language is little bit hard because it is auto generated