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Вернуться к Сбор и сортировка данных

Отзывы учащихся о курсе Сбор и сортировка данных от партнера Университет Джонса Хопкинса

Оценки: 7,886
Рецензии: 1,295

О курсе

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....

Лучшие рецензии

2 мая 2020 г.

This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.

1 февр. 2016 г.

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

Фильтр по:

1151–1175 из 1,258 отзывов о курсе Сбор и сортировка данных

автор: Doug E

27 июля 2016 г.

Topics were OK but the focus on R and no other tools is frustrating

автор: Fabien N

8 нояб. 2019 г.

The course was good but a bit too versatile for such hard quizzes.

автор: finbar k

26 июня 2018 г.

Vague instructions in many of the quizes and the final assignment.

автор: Lee C W

27 мая 2018 г.

Average. Not useful even to tackle its own quizes and assignment.

автор: Denis S C

1 нояб. 2017 г.

Explanation could be more elaborated like the earlier courses

автор: JP B

6 авг. 2016 г.

Not well explained.... Previous module was better structured.

автор: Andrew T

1 февр. 2018 г.


Too much talking. Not enough integrated exercises.

автор: Ryan W

24 окт. 2018 г.

Mostly just R programming with data science in passing.

автор: Thomas G

19 авг. 2016 г.

Very usefull but can be technical and discouraging

автор: BIBHUTI B P

30 мая 2017 г.

needs little more real time scenario examples..

автор: Pedro V Q d C

9 нояб. 2016 г.

Course is too simple, should be more extensive.

автор: Madhubalini V

6 окт. 2020 г.

practices is much needed to complete projects.

автор: Dr. M H A J

2 июля 2018 г.

Amazing, Kindly update the versions always.

автор: Ahmed A

14 июня 2020 г.


автор: Ivo G G V

20 июня 2019 г.

It needs an update on some libraries.

автор: Mario P

9 дек. 2017 г.

Useful, but a little boring.

автор: KIM D H

22 июля 2017 г.

its so hard for beginner to

автор: Antoine D

3 сент. 2016 г.

Interesting but too simple.

автор: Liliana B S

4 мар. 2016 г.

Sometimes is hard to follow

автор: Dinesh B

13 мая 2017 г.

The assignment was tough.

автор: Hussien E

11 сент. 2019 г.

A little hard to follow

автор: Naman D D

9 июня 2020 г.

Too much repetittion.

автор: Sujeet S

7 янв. 2020 г.

Too tough

автор: Mike E

6 сент. 2017 г.

Professors did not do a lot beyond rehearsing what the commands did. More important, there were a lot of small things that would stop progress on the course unless you went deep into the forums - for instance, one of the files in the final project was illegible unless you used the right text editor. Final project was poorly designed in that the data were untidy but intended to stay that way (See "Should I decompose the variable names?" in Thoughtful Bloke's post at - he is right about jerk and mag but wrong about time/freq, gravity/body, acc/gyro, and x/y/z, which are mutually exclusive members of the same set and thus values that appear in column names). I appreciate that this course, unlike other online courses, actually makes you think, but students should only have to think about topics germane to the course. Overall much more frustrating and time-consuming than it should have been.

автор: Bill C

28 сент. 2016 г.

This course is where the material starts to get difficult, and the learning materials fail to provide the structure needed. There absolutely HAS to be a better teaching method than "reading the slides of bullet-ed text that I'm also showing". No functional examples are provided in the lectures and the real learning content is linked out to web resources. You will have to Google your way through this class because the provided instruction will not contain answers to the quiz or exam questions. A real disappointment.

I also think that Coursera knows this, because this was the first course where they ramped up the e-mail encouragement campaign. Their data must tell them this is where people fall off the specialization. Rather than addressing with marketing and messaging, they should encourage the instructors to improve the course.