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

4.6
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Оценки: 7,883
Рецензии: 1,294

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

HS
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.

DH
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:

1101–1125 из 1,258 отзывов о курсе Сбор и сортировка данных

автор: Wentao B

2 апр. 2016 г.

The content of the course is too general, with too brief introduction of some commands in the lecture notes(slides), I don't think it would be very helpful for the students to deal with some real complicated problems.

автор: Justin z

13 апр. 2017 г.

brought up some good concept inside, like "tidy data", but not in detail, how to grab data from different source shouldn't be difficult. should have more focus on talking about data.table, "tidy data" principles etc.

автор: Bekhzod A

13 мар. 2016 г.

Hi all,

Course provides interesting insight to getting and cleaning data. However, the course misses practical examples (not only showing the code in the slides, but also presenting how it works in R or RStudio).

автор: Ehab H A

4 февр. 2019 г.

This course was too hard for me compared to the first two in the program. Not sure whether it is because of my limited background in the subject area, or because of the abrupt shift in level from course 2 to 3.

автор: Sven B

30 апр. 2016 г.

This course is of lower quality than the preceding courses. The final assignment instructions are not clear. The forums helped but I have the impression that they are not really followed by the mentors.

автор: Pedro R A O

10 сент. 2017 г.

the course is good in terms of the knowledge but it is very unstructured. A lot of topics are treted just superficialy and the activities do not address the content of que lectures completelly.

автор: Rigoberto Á E

26 нояб. 2017 г.

The professor Leak is not as gifted (in terms of teaching skills) as R. Peng. In some of the lectures he just reads what it's in the presentations but he does not go very deep into them.

автор: Deleted A

12 авг. 2016 г.

Contents in first half weeks are very superficial, have low depth so that do not help me do some meaningful studies. But later ones are good for understanding the structure of data.

автор: Shuwen Y

28 мая 2016 г.

less hands-on exercises and this course covers too much topics without details. More like general intro to each tool and data sources. Swirl is still a great package for practice.

автор: Christoph G

12 июня 2016 г.

I liked it, but I had the impression it wasn't as prepared as the other courses. Especially with the course assignment I had a bit trouble to understand, what was wanted.

автор: Angela L

19 янв. 2016 г.

This is not a beginner's course, so a decent grasp of the R language is necessary. It is best to take this course after some stints with Data Camp, Swirl, or Code School.

автор: Juan D P M

13 окт. 2021 г.

Some lessons are pretty good, but there is a gap between the lessons and the assigments. You're evaluated in some aspects that are not very explained in the lessons.

автор: Sahil S

16 янв. 2021 г.

Assiignments are out of date, some commands are deprecated. Also, the quizzes and projects require more in depth lessons or practice problems to complete. Thank you

автор: Yuqi J

14 янв. 2019 г.

Some of the lectures on loading data were very dry, but I guess that can't really be helped. Also the final course project's requirements were on the vague side.

автор: Buddsalakhum R

1 мар. 2021 г.

I think this one is easier than the R programming but still, more exercises to practice would be good. Also, the assignment's explanation should be more simple.

автор: Samantha H

30 мая 2018 г.

It would be better if we had practice problems along the way. This course seemed to have a lot of commands that didn't stick until I put them into practice.

автор: András H

4 мар. 2018 г.

This is an important course, but many updates will be needed. There are only a few exercise task, there could be more. The swirl part of the course is good.

автор: Andrew C

20 сент. 2016 г.

The best course so far (though that's not saying much). This course would be better as a follow up to an example workflow showing an end to end analysis.

автор: Amir A S

8 мар. 2020 г.

Not on par with the course sets before it, could have been a bit more explaining as cleaning data is one of the most important parts of data science.

автор: Ranto R

6 июля 2020 г.

The content of the course is very interesting and useful. However, I found very challenging the difference between lectures and quizzes/assignements

автор: Bijan S

30 янв. 2016 г.

The selection of topics is great. However, the course is too abstract. I think some of the materials deserve to be discussed more comprehensively.

автор: Paymon H

14 апр. 2016 г.

Toughest class in the offering. There really could've been 2 classes for cleaning data. I struggled with the lecturer's style (spoke too fast).

автор: nicolas r

15 сент. 2021 г.

S​ome assessments are not well related with topics developed during classes. Then, it is difficult to understand what it is the goal to achieve.

автор: Daniel D

3 сент. 2019 г.

The project description could have been a lot more descriptive for what we were supposed to do. Otherwise, I had a lot of fun with this section.

автор: Teodor I

9 янв. 2018 г.

The non-clickable links in the pdf are a major problem. You need to figure it out. Create a link reference field for each video or something.