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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: 31,555
Рецензии: 6,703

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

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.

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.

Фильтр по:

6376–6400 из 6,564 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Karsten T

15 февр. 2016 г.

This could probably be compressed into a single week of setup for the R Programming course. There isn't much in terms of substantive learning here.

автор: DIWAAN C C S

10 нояб. 2020 г.

Content is good but the thing to tell is that robots can't express actions, only humans can. So please change these videos as human lectures.

автор: OMEED R

30 дек. 2016 г.

I mean, it's replicated in the next classes, and it has silly questions in the practice quizzes. It's not worth it. Just kill this.

автор: Augusto U

18 февр. 2016 г.

Very basic introduction to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak.

автор: Luis C

24 мар. 2019 г.

it is a good course but need to show more examples of R. the course should show more empirice examples of the functions of R.

автор: Harshini S

22 нояб. 2016 г.

A good intro to the tools required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better.

автор: Yuan L

12 нояб. 2017 г.

Not that useful. There is no need for videos. The content can simply be presented in one single PDF in a time-saving way.

автор: Dimitry W

5 дек. 2017 г.

Somewhat interesting to get an idea of what can be done with Git / Github, but I don't feel prepared to actually use it.

автор: Anna K

13 июля 2017 г.

Materials are getting out of date, especially with some of Github's new features. Instruction not clear in some lessons.

автор: Illan W

5 июня 2019 г.

Lectures are ridiculously boring, especially without having any video cam component to bring stimulation to the class.

автор: Ashwin P

1 июля 2017 г.

I do not think it is worth the money as the content is really basic and installation of software can be learnt online.

автор: Lang Y

24 окт. 2017 г.

Too little content. Can finish the entire course in a few hours. Could be compressed into the first week of a course

автор: Adam D

12 июня 2017 г.

If you can install R & RStudio and sign up for Github, then you're 80% finished with this course before you start.

автор: Alex L

1 мар. 2021 г.

Link does not blue-highlight in the last question and confuses the graders to think that the link does not work.

автор: Andrew T

3 янв. 2018 г.

Basic setup of R and Git.

Prefer Treehouse's integrated workshop structure for tasks like these and/or youtube.

автор: Matthew W

1 апр. 2016 г.

Extremely remedial. Not worth the time or cost on it's own, unfortunately it's required for the specialization.

автор: Owen I

15 нояб. 2016 г.

Is this entire course going to be watching videos of powerpoint slideshows, wrapped in a rather buggy website?

автор: SAI V K

2 июня 2016 г.

they made this many courses as they can earn more money.I dont think this course should me taught seperately

автор: Andrew W

20 апр. 2017 г.

Very, very, very basic intro. The entire 4 weeks could have (and should have) been condensed into 1 week.

автор: Paolo D

7 нояб. 2016 г.

I didnt learn anything about data science. I could have learned how to install all those tools by myself

автор: Andrew I

17 сент. 2016 г.

There just wasn't much to this class. It's not bad information, but it could have been done in one week.

автор: Agustin G

20 июня 2016 г.

It's an extremely basic introduction... which doesn't help in much for the next session (R Programming)

автор: Eva B

28 янв. 2018 г.

OK course. A brief overview, but the sequence of material isn't that well thought out in my opinion.

автор: Christopher W P

9 февр. 2018 г.

VERY basic course, some of the week's assignments were simply installing software for future use...