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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

4.6
6,505개의 평가
1,009개의 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

DH

Feb 02, 2016

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.

BE

Oct 26, 2016

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 969개 리뷰 중 126~150

교육 기관: Chiara M

Feb 13, 2016

Very challenging! which makes everything even more fun!

교육 기관: UDBODH

May 02, 2016

Powerful tool

교육 기관: xun y

Jul 10, 2017

Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.

교육 기관: Marcus S S

Jan 21, 2017

A good first step in order to manage big data sets!

교육 기관: Narin P

Jun 29, 2018

The course is very helpful when it comes to exploring commonly used R packages and learning certain best practices involved in data cleaning. I'd definitely recommend it to any data science enthusiasts. One area with slight scope for improvement could be the final project. The instructions are quite open to interpretation, which means that the final grade which you get via peer review is always going to be debatable. Other than that, I have no complaints whatsoever :)

교육 기관: Divvya.T

Oct 31, 2017

Great course to take !

교육 기관: Cristóbal A

Apr 03, 2016

Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.

교육 기관: Tacao M

Feb 03, 2016

Very interesting material and basic knowledge on R to read files and produce tidy data

교육 기관: Murat Z

Feb 11, 2018

Great course for data mining and cleaning. If you planning to take Reproducible Research course, I'd recommend to at least audit that course's second week for markdown and knitr skills prior to taking Getting and Cleaning Data course, coz you're going to face need for those skills during the course project.

교육 기관: Mohankumar S

May 26, 2017

Nice Explanation.

교육 기관: Philip S

Jul 09, 2018

Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.

교육 기관: Ramprabhu N

Feb 11, 2016

A Great one ..

교육 기관: Bruno K d O

Feb 17, 2016

Great course! The course content is very good and the length is appropriated.

교육 기관: Seid A A

Sep 04, 2017

its great

교육 기관: Selcuk F

Mar 27, 2016

Very good course!

교육 기관: Nishan M

Oct 17, 2016

Great course for a budding data analyst/scientist

교육 기관: Xiuyuan L

Mar 23, 2018

Good class. Learn a lot from it.

교육 기관: Samir Y

Feb 25, 2016

Very nice course.

교육 기관: Ishtiaque A

Feb 08, 2016

great course so far

교육 기관: Bruno

Jun 04, 2016

It's a good course, with right amount of exercises and well explained classes.

교육 기관: Gourav A

Mar 02, 2017

Nice course

교육 기관: James G P

Aug 19, 2017

Good course.

교육 기관: Dan K H

Feb 02, 2016

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.

See the videos for general presentation, but use the energy on the excersizes.

교육 기관: Daniel R

Feb 19, 2016

Great! And the project is wonderful!

교육 기관: Emanuele M

Feb 09, 2016

Course is really well done and useful.