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Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 29,887
Рецензии: 6,376

О курсе

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....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

LR
7 сент. 2017 г.

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
14 апр. 2020 г.

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.

Фильтр по:

4426–4450 из 6,236 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Shaik M U

20 февр. 2017 г.

Coursera has changed the way of learning,Yes anyone can learn anything and everything at the comfort of their own time and place......

Thanks Team COURSERA....Keep Going....

автор: Brandon B

22 мая 2016 г.

It's a good introduction to data science. However, without prior knowledge of statistics, programming, and research methods the course would be fairly difficult to follow.

автор: sharraf t

2 авг. 2020 г.

the robotic voice got a bit annoying towards the end of the course, but overall i like the course and found it informative, cant wait to continue with the specialization .

автор: Willie C

21 янв. 2020 г.

This course is fairly rudimentary, but it does a really nice job of getting you all set up with the tools you'll need to tackle the rest of the Data Science specialization

автор: Hannah B

4 июня 2019 г.

The part where GitHub, Git and R are connected was very interesting. However, as a fairly experienced R user and scientist, I wish I could have skipped some of the parts.

автор: Luis E R R

29 апр. 2020 г.

I found this course to be quite useful, albeit introductory. I kind of was hoping for more material. Nevertheless, for a beginner, I believe it is completely appropiate.

автор: Neha S

10 окт. 2016 г.

Good start for the beginners especially for people new to the data science. Topic are not covered in depth but as its just a introductory course so its totally fine..

автор: Alex B

26 авг. 2019 г.

Well explained, step by step instructions on how to install and use the tools

Potential to improve: use more visuals in de instructions (many times now it is only text)

автор: Mark M

1 июля 2018 г.

Provides a good overview of what will be learned in the Data Science specialization. Good introduction to the software tools required and how to set them up correctly.

автор: Luis A V C

10 мар. 2016 г.

Basic tools for shareing and develop that right now I don´t consider usefull. In the other hand, the content is well explained so right now I new how to use new tools.

автор: Bhargava P

23 июня 2017 г.

I think it did give a bit of an overview but I expected a little more stuff on actual Data Science and not on how the course actually works...

But good start.

Thank you

автор: Donovan W

17 мар. 2018 г.

Good for getting started, installing the necessary software. Wish github commands and markdown were explained a bit more, but that is likely done in a later course.

автор: Kristin A

8 июня 2017 г.

A nice survey that you can complete over a weekend if you do it in a concentrated dose. It really is just an introduction, though, and it only scratches the surface.

автор: Calvin B

15 окт. 2016 г.

Started out a bit slow with material that I felt was somewhat extraneous, but then got to the good part (hard part?) of installing R and getting it working with GIT.

автор: Lisa P

6 февр. 2016 г.

This course is good if you have zero background in R and using GitHub. It'll walk you through installing what's necessary and give you basic tips on how to use them.

автор: Saptarshi M

12 июня 2020 г.

i am little weak at understanding things when taught for the first time. so understanding and learning about toolbox was little difficult due to the computer voice

автор: Dr A M

15 мая 2020 г.

It was fine, very technical in detail, but it was useful to learn about Rmarkdown.

I guess it is training from professionals how need linking to github and the like.

автор: Catherine K

27 февр. 2020 г.

Very basic course to just install required tools, so if you're familiar with github and terminal, there's no much sense in it, and you can finish it in couple hours

автор: Pratyush D

3 апр. 2019 г.

Gentle introduction to the basics. Delivered on the premise of the course. I would have appreciated more examples and practice questions to drive home the concepts.

автор: Daniel P

21 июня 2018 г.

Great course however it was not what I was looking for. I am interested in the business management area of data science. This course seems geared towards academics.

автор: Raymond P

21 нояб. 2017 г.

Short course that provides the foundation for the rest of the specialization. Helpful even for students who already have some experience with R and/or data science.

автор: Abhay S

22 мая 2020 г.

The course is well written but the videos are quite monotonous. Assignments are really well. Overall a good experience. Moving towards the next course. Thank you.

автор: Patricia Z

11 мар. 2018 г.

Good introduction course! Really comprehensive -- which is really great, but parts of it can be too advanced so there are times when it's kind of hard to catch up!

автор: Erin R

23 февр. 2017 г.

The lessons were very informative and well organized. I only wish the audio were louder for some of the videos from Jeff Leek. Other than that, excellent course.