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.
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Über diesen Kurs
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Probieren Sie Coursera for Business ausWas Sie lernen werden
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
Kompetenzen, die Sie erwerben
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Data Cleansing
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Week 1
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Week 3
Week 4
Bewertungen
- 5 stars67,54 %
- 4 stars23,63 %
- 3 stars5,85 %
- 2 stars1,62 %
- 1 star1,33 %
Top-Bewertungen von GETTING AND CLEANING DATA
Good coverage of topics. A bit scattered in early slides and assignments were often inconsistent with coursework. Overall a great introduction of what to expect when gathering data.
It was pretty hard for someone like me who has a weakness in programming but it provided sufficient exposure and tasks for me to learn within my capabilities. I did enjoy its challenges.
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.
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.
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