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.
Offered By
Johns Hopkins UniversityAbout this Course
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Shareable Certificate
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Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Data Cleansing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Syllabus - What you will learn from this course
2 hours to complete
Week 1
In this first week of the course, we look at finding data and reading different file types.
2 hours to complete
9 videos (Total 67 min), 4 readings, 1 quiz
1 hour to complete
Week 2
Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL.
1 hour to complete
5 videos (Total 41 min)
11 hours to complete
Week 3
Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2.
11 hours to complete
7 videos (Total 60 min), 1 reading, 4 quizzes
5 hours to complete
Week 4
Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects.
5 hours to complete
5 videos (Total 34 min), 2 readings, 3 quizzes
Reviews
- 5 stars67.55%
- 4 stars23.65%
- 3 stars5.85%
- 2 stars1.61%
- 1 star1.31%
TOP REVIEWS FROM GETTING AND CLEANING DATA
by KKJun 23, 2016
good introduction and practice being given on handling data cleaning. Lesser thought on getting data merely introduction. Still good to give a try if you are new in data analysis.
by ARMay 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.
by BEOct 25, 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.
by XXAug 14, 2018
The Swirl practice part is great! But there is a big gap between what we learned from video/swirl and the course project! The project is much harder than what I learn from the course.
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