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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

4.5
별점
7,922개의 평가
1,309개의 리뷰

강좌 소개

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....

최상위 리뷰

HS

2020년 5월 2일

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

2016년 2월 1일

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.

필터링 기준:

Getting and Cleaning Data의 1,273개 리뷰 중 1201~1225

교육 기관: izabela l

2016년 8월 29일

The code for the final assignment is peer reviewed which doesn't make sense. It should be reviewed by either a TA or some kind of application than can verify what you've done. Also, the assignments were a bit of a leap from the video tutorials at times.

교육 기관: Daan v d V

2020년 10월 7일

Although this course is on a very interesting topic, it is quite outdated. Its lectures and examples are quite outdated; some web scraping examples are incompatible or don't exist anymore, and the described techniques are mostly (outdated) R libraries.

교육 기관: Stephen S

2016년 6월 27일

The videos did not teach anything that was going to be on the quiz so it was like answering 5 questions at random using google. The lesson plans and project were very vague and too much time was spent trying to figure out what was even being asked.

교육 기관: Shashank M

2017년 7월 23일

This is a very crucial part of the data science specialisation and I feel more hands-on exercises and quizzes should have been there. Small practice quizzes for testing incremental learning within a week should be there.

교육 기관: Eduardo S B

2019년 10월 5일

In my opinion the structure of the course is not the best. I mainly dislike the fact that some libraries, packages, etc. (e.g. MySQL) are not trivial to install.

Still I learnt quite a lot, so I wouldn't say it's bad.

교육 기관: le M N

2020년 6월 23일

the instructor of this course, unlike the other 1, is quite unclear about what needed to be done. a lots of the packages of the course are not up to date.

more quiz and exercise would be highly beneficial

교육 기관: Jason Y

2017년 8월 2일

Mediocre presentation of tidy data, which is probably the most critical topic. Otherwise, its mostly just walking through what commands to use in R to load in various file formats.

교육 기관: Patti M

2017년 1월 4일

This class needs more content, more explanation. It is clearly a very important aspect of Data Science, but the assignments were more complex than the given course content.

교육 기관: Sheila B

2018년 5월 7일

I learned a lot but my usually happy & grateful attitude was sorely challenged by the fact that so many facts in the videos and obvious course material was, well, wrong.

교육 기관: James K

2020년 5월 11일

Out of date material. Many links broken. Some of the functions taught are sunset. Week 2 was too surface level to do anything useful. Weeks 3 and 4 better than week 2.

교육 기관: Joseph S

2020년 5월 14일

This course has a very interesting subject and a concise syllabus, but is very poorly prepared. I hope coursera will pass on the message to Johns Hopkins University!

교육 기관: Albert B

2016년 8월 14일

Too difficult practical exercises with the theorical background given. I know that hackers skill should be used but it is too much assumption in the projects!!

교육 기관: Seyed A T

2016년 7월 19일

It is somehow just an extension on R Programming course, with many unnecessary details that will be forgotten in a few days after the course.

교육 기관: Sergio C d F

2016년 8월 23일

The video is simple and good.

But the final project and some test are too hard based on material presented.

Also staff's support are not good.

교육 기관: Cintia K

2021년 3월 9일

Unfortunately the course's lectures are quite outdated, so you won't pass week 1 without all the research done by yourself.

교육 기관: Ruwaa I

2020년 8월 18일

I learned "ask Google" and dplyr, nothing more. Not as satisfied as with the other courses in the specialization.

교육 기관: Gianluca M

2016년 9월 19일

The only interesting part was dplyr. The rest was too confusing, with lots of lists and no explanations.

교육 기관: Adam M

2020년 1월 17일

The information in the lectures is very stale, which makes it extremely frustrating to learn from.

교육 기관: DESIREE P

2021년 3월 10일

Messier than the 2 previous courses. Lacks explanations for codebook in the peer-graded exam.

교육 기관: Sudarshan P

2017년 12월 5일

The course material needs update. There are code snippets that do not work.

교육 기관: Aditya D

2017년 9월 18일

This course could have been better. It was all textual and it got boring.

교육 기관: James C

2017년 5월 29일

Final assignment is not well detailed, and may cause confusion.

교육 기관: Guy P

2016년 3월 3일

This course lacks projects to implement the skills we learn.

교육 기관: Lee D

2016년 5월 18일

The course was a bit mixed in terms of its quality.

교육 기관: Colin H

2020년 10월 21일

Guidance for assessments could be a lot better