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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

4.6
6,566개의 평가
1,013개의 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

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.

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.

필터링 기준:

Getting and Cleaning Data의 974개 리뷰 중 26~50

교육 기관: gerson d o

Jan 17, 2019

EXCELENTE!!!

교육 기관: Enlik

Jan 06, 2019

Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"

교육 기관: Farah N

Jan 07, 2019

I liked the course project!

교육 기관: Thor R

Jan 18, 2019

Useful, the course is as much an introduction to R- part 2 as about cleaning data

교육 기관: Luis E B P

Jan 08, 2019

I think this course is really good, the instructors give you a lot of tools to handle data bases! I would recomend this course to any person that wants to learn about this.

교육 기관: Abay J

Jan 21, 2019

Love quizzes and a course project. Working on them develops you as a data scientist

교육 기관: Hathairat W

Feb 09, 2019

A very Important course for working with R and data science in general.

교육 기관: Cynthia M P

Jan 25, 2019

I learned so much in this course!

교육 기관: Klever M

Jan 25, 2019

Great course. I really enjoyed it!

교육 기관: Nimalka W

Feb 13, 2019

Useful general course on tidying data and learning to import into R from various sources. Doesn't get into sequencing data import, but looks at other common ones

교육 기관: Jagat R S

Feb 17, 2019

Great learning! Thank you.

교육 기관: sirajsebhatu@gmail.com s

Feb 18, 2019

thanks

교육 기관: Nelson M

Feb 24, 2019

This course is a nice introduction to the complex process of getting and cleaning data in R. It introduces you to some fundamental tools in the area, such as the dplyr and tidyr packages, and touches upon the most important aspects of data gathering and transforming. The final project is an interesting mix of technical challenges with a touch of intelligent practices in data handling and sharing. Whatever your level in R programming and data science, this course is an enjoyable hands-on experience.

교육 기관: Tushar M

Feb 25, 2019

Nice course.

교육 기관: Glenn W

Mar 04, 2019

Very good course. Dr. Peng did a nice job of presenting the material. The projects and quizzes were challenging as well as educational.

교육 기관: Greg V

Mar 06, 2019

A very practical and useful course!

교육 기관: Rodrigo O

Mar 15, 2019

Excellent course

교육 기관: Janet A R

Dec 28, 2018

Thanks!!! It opened a whole new world to me!

교육 기관: Justin A B

Dec 28, 2018

Very challenging but very fulfilling when completed

교육 기관: Scott D

Dec 30, 2018

This course is great. The tactical skills in R you really need on the job.

교육 기관: Koen V

Nov 15, 2018

Fun course!

교육 기관: Ji H W

Jul 31, 2018

Great lecture and help understanding concepts throughout the lecture

교육 기관: Yash G

Aug 07, 2018

It was really an enriching course. I learnt a lot about the raw data formats and tools and techniques to get the best out of that raw data. Highly recommended

교육 기관: Sebastian O V

Aug 06, 2018

Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort

교육 기관: Anand

Aug 14, 2018

Good course and pace