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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

Оценки: 33,520

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


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.


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.

Фильтр по:

6401–6425 из 7,041 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Chris C

1 нояб. 2018 г.

There has to be a more engaging way of introducing course material. For example, by showing someone actually using these commands in the videos vs. just putting the Git, R commands in a power point bullet format.

автор: Sergio M

25 апр. 2017 г.

It's a good introductory course, but it's very basic and I feel that I paid a lot for a very basic experience. I do understand it is the first step in a full specialization but I think it can be more challenging.

автор: Kanaparthy V N

30 мая 2020 г.

Its always good to have a real teacher's voice rather than an automated. There were also a lot of instances where number of questions were asked even though they weren't taught in the class.

Overall, it was good

автор: Jeff G

26 сент. 2016 г.

It is a very basic course to give you high level of what the course is going to cover and the tools that will be used throughout the course. If you have much programming background this course will be a breeze.

автор: Sebastien M

4 сент. 2016 г.

Well presented, but this course should be optional in in the specialization. There isn't really enough material to justify it, but it does cover the basics for someone with little to no development experience.

автор: Ghodratollah A

13 мар. 2016 г.

With many thanks to the instructors, I expected to learn more. I did not learn as much as a 4-week course in Coursera. Please include more materials and avoid advertising for other topics in the future courses!

автор: RISHABH G

21 янв. 2018 г.

The Course is very well designed and anyone who pursues it gets very well acquainted with the applications and tools . But i would like to suggest that this course can be completed in 7 days instead of a month

автор: Truong T

19 июля 2017 г.

The length of the course, in my opinion, is a little bit too long. Actually it took me only 3 days to complete this course and I am not really a brilliant one. So I think maybe may will have the same opinion.

автор: Dave N

16 мар. 2017 г.

Not a bad intro; I don't know if anyone would benefit taking this as a standalone (or for an entire 4 weeks, for that matter). Still, it introduced some solid concepts for professionals and scholars, alike.

автор: PRAMOTH

12 мая 2020 г.

Though the content of the course is nice, i wasn't completely comprehend everything. I was expecting to see a lot of explaining using the live screen mode, i.e., explanation while operating on the desktop.

автор: mathias b

15 авг. 2016 г.

This is a really basic course. If you have never touch code before, it's more useful, but little is actually covered here and the gap between it's contents and the next class, R programming is dramatic.

автор: Chris H

15 дек. 2016 г.

Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are autograded to begin with.

автор: Geoff S

27 июля 2016 г.

This is a required course in the Data Science specialization. If you're planning to take that specialization, you should start with this course. If not, you shouldn't bother - there's not much here.

автор: Michal Š

12 авг. 2016 г.

As a software engineer I found this course a bit useless, but I do understand other people don't have the same background. Having said that, I believe it should be optional in the specialization.

автор: Yueming P

18 нояб. 2017 г.

It's a great course. But the peer-graded setting of projects really delays the grant of certificate. It took me more than two sessions of waiting just to get a grade for the peer-review project.

автор: Michele B

13 сент. 2018 г.

Very basic, can be done in one day! However, we always need something simple to begin learning something new. Also, it was useful to have some guidance in the installation of the various tools.

автор: Alan Z

29 мая 2016 г.

The course is basic, and quite simple. Some might say too simple. I think it should be about 1 week long. I already knew all the things going into it so it was easy to finish it over two days.

автор: Antonio M

23 мар. 2021 г.

unforutnately automatic video are quite hard for non native speaker. You always need to revert to reading material

the intro to R should be extended with more practical exercises and examples

автор: Joseph S

1 февр. 2020 г.

The theoretical part of the course is good, but the quizz questions were simplistic and very hastily prepared. I would recommend this course as an optional module and not as a graded course.

автор: Mohammad O

28 нояб. 2021 г.

I like to continue, but i stopped learning because the robot instruction which is annoying presentation.

I'm looking other courses which has better presentation tools, like real instructors.

автор: Constantin S

10 февр. 2016 г.

It's a very basic introduction. Would be nice to have the option to skip it for more advanced students.

Also the recorded lectures are really quite, so you have to turn up the speaker a lot.

автор: Pratheek G

16 нояб. 2017 г.

Good Introduction to the basic tool set, Can be bit more comprehensive by giving an overview of other tools available to do the same operations and also why this tool set has been chosen.

автор: Fraida L

25 нояб. 2016 г.

There wasn't much to learn that I didn't already know. There was a lot of talk but no real practical application (I guess except for github for people that didn't know how to use that).

автор: Oleksandra M

26 нояб. 2017 г.

This course coud have been provided as intro to R programming course or it could be just planned for 1 week. Anyway, overall it was ok though not yet extremely intense or informative.

автор: Lauren O

13 апр. 2017 г.

It was a good overview. I understand that it’s really just a quick intro into upcoming specialization courses. I wouldn’t take it alone. But I’m excited for the rest of the courses!