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获取和整理数据, 约翰霍普金斯大学

5,780 个评分
910 个审阅


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....


创建者 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.

创建者 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.


871 个审阅

创建者 Rodrigo Olivares

Mar 15, 2019

Excellent course

创建者 Moshe Pilsky

Mar 14, 2019

The material in this course is very condensed. Data Table lecture was very much a copy of someone else' information on the web and was so terse, I would imagine even people from programming backgrounds had had to listen to it many times just to understand what was going . Expect to put in good 8-10 hours a week into this course if you want to become proficient in course' material.

创建者 Paul Ringsted

Mar 12, 2019

This is really R part 2, getting into file/API handling, data frames, regular expressions etc. The specialization focuses on data frames though little coverage of data tables needed for the capstone. Some of the ordering of the materials was confusing e.g. this course revisits date/time handling which was started in the previous course. Assignments are interesting and Swirl exercises are useful. All in all, the combination of these R courses gets you up to speed.

创建者 Greg Verissimo

Mar 06, 2019

A very practical and useful course!


Mar 06, 2019

Very vaguely explained.Not much information in the slides about the topics covered.

创建者 Glenn Walters

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.

创建者 Andrew

Feb 28, 2019

Excellent course on using R for getting and cleaning data.

创建者 Rafee SyEd

Feb 25, 2019

waste of time for software engineers

创建者 Tushar Mishra

Feb 25, 2019

Nice course.

创建者 Nelson Muriel

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.