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.
Getting and Cleaning Data
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Getting and Cleaning Data
This course is part of multiple programs.
Instructors: Jeff Leek, PhD
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8,077 reviews
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
90%
Most learners liked this course
What you'll learn
Understand common data storage systems
Apply data cleaning basics to make data "tidy"
Use R for text and date manipulation
Obtain usable data from the web, APIs, and databases
Skills you'll gain
Tools you'll learn
Details to know
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Assessments
4 assignments
Taught in English
91% of learners achieved a positive career outcome
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There are 4 modules in this course
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WC
Reviewed on Oct 31, 2016
This course is amazing! I have spent the majority of my time in R merely doing analytics. This course taught me the tools needed to go out and grab the data that I need for those analytics.
VV
Reviewed on Nov 25, 2017
A lot of insight and practical knowledge of cleaning data that is available in many places in the Internet. I loved this course and it took me 2 tries to pass the peer graded assignment. ;)
SB
Reviewed on Mar 16, 2018
So knowledgeable and interesting course. I have learned much about data cleaning and getting from different sources. Finally thanks to coursera team for giving us the opportunity.
