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Вернуться к Сбор и сортировка данных

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

Оценки: 7,929
Рецензии: 1,311

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 1,274 отзывов о курсе Сбор и сортировка данных

автор: teena g

9 февр. 2018 г.

While the available content is good, I expected this course to take me to a more detailed level.

автор: Felix R

31 янв. 2019 г.

Ups and Downs.

Some presented functions are deprecated according to official documentation...

автор: Mohammadreza A

20 дек. 2020 г.

Course project was really vague and it took me 3 days to understand what is really wanted

автор: Brandon W

11 авг. 2020 г.

The lessons are good, but they do not prepare you for the tests or end-of-course project.

автор: Nathan H

17 сент. 2018 г.

The assignments required A LOT of help outside the information provided in the lectures.

автор: Jack H

1 июня 2020 г.

Not as good as the other courses offered by this specialisation. In need of an update!!

автор: Himanshu R

26 окт. 2017 г.

Need more lectures on R packages and newly added packages like reshape, dplyr etc.

автор: Juan A S O

25 апр. 2016 г.

The evaluation part of the course needs some fixing. Otherwise, very good course!

автор: Samidha S

2 сент. 2017 г.

Course touches points very superficially. Need to have better reference material.

автор: Edward A S M

3 нояб. 2019 г.

More examples of code running in parallel with the course work will be helpful.

автор: Derek R

15 дек. 2017 г.

This course really gets you working with R. The swirl exercises are great.

автор: ISH G

5 мар. 2016 г.

very nicely made course providing a good hands on with R language. Thanks!

автор: Taein E

26 июля 2021 г.

​The letrue should be updated. Most of the URL address is not accessible

автор: Jean-Francois J

5 февр. 2017 г.

The course isn't that hard but there is a lot of content to assimilate.

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: Jatin N S

28 мар. 2022 г.

It would be better if for each function there were more examples.

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..