Chevron Left
Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

7,930개의 평가
1,311개의 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


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.


2016년 10월 25일

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

필터링 기준:

Getting and Cleaning Data의 1,276개 리뷰 중 1151~1175

교육 기관: John G

2017년 2월 23일

Materials (video and written) only partially prepare the student for the quizzes and course projects.

교육 기관: Minh L

2018년 3월 19일

Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.

교육 기관: teena g

2018년 2월 9일

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

교육 기관: Felix R

2019년 1월 31일

Ups and Downs.

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

교육 기관: Mohammadreza A

2020년 12월 20일

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

교육 기관: Brandon W

2020년 8월 11일

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

교육 기관: Nathan H

2018년 9월 17일

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

교육 기관: Jack H

2020년 6월 1일

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

교육 기관: Himanshu R

2017년 10월 26일

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

교육 기관: Juan A S O

2016년 4월 25일

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

교육 기관: Samidha S

2017년 9월 2일

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

교육 기관: Edward A S M

2019년 11월 3일

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

교육 기관: Derek R

2017년 12월 15일

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

교육 기관: ISH G

2016년 3월 5일

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

교육 기관: Taein E

2021년 7월 26일

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

교육 기관: Jean-Francois J

2017년 2월 5일

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

교육 기관: Doug E

2016년 7월 27일

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

교육 기관: Fabien N

2019년 11월 8일

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

교육 기관: finbar k

2018년 6월 26일

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

교육 기관: Jatin N S

2022년 3월 28일

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

교육 기관: Lee C W

2018년 5월 27일

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

교육 기관: Denis S C

2017년 11월 1일

Explanation could be more elaborated like the earlier courses

교육 기관: JP B

2016년 8월 6일

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

교육 기관: Andrew T

2018년 2월 1일


Too much talking. Not enough integrated exercises.

교육 기관: Ryan W

2018년 10월 24일

Mostly just R programming with data science in passing.