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
Getting and Cleaning Data
This course is part of multiple programs.
Instructors: Jeff Leek, PhD
Access provided by Indian Institute of Technology Delhi
215,545 already enrolled
Gain insight into a topic and learn the fundamentals.
8,078 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
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
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Showing 3 of 8078
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.
TW
Reviewed on May 4, 2016
The assignment was excellent but challenging, instruction wasn't too clear or obvious though, struggled for a while (good kind of struggle) The lecture was okay but the Swirl part is always fantastic.
AR
Reviewed on May 13, 2018
Loved the structure of the course. Learned a lot. The course project seemed a little funky , especially creating the codebook for an already existing set of data but was a useful teaching aid.
