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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
32,455件の評価
6,924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: 6326 - 6350 / 6,813 レビュー

by Bill H

2016年3月28日

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

by Nath S

2019年12月18日

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

by TESSIER B

2016年2月13日

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

by Chatphong P

2020年8月11日

Peer-review by some user that have no understanding or related knowledge not seems to be good.

by leo0807

2019年7月3日

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

by Nick S

2018年2月2日

I don't really think that this amount of information should exist as a whole separate course.

by Lucio C

2016年8月8日

Good overview. But it is confusing for the first class when you have no idea about the topic.

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 Ramya S

2021年4月26日

the computer voice is not that effective.

linking Github and R studio is a bit confusing

by Uian S G

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.