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Getting and Cleaning Data

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.

Created by Johns Hopkins University


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What you’ll learn


In this learning resource you will improve the compentencies required from companies in 2021. The most relevant technique in the educational resource that is often mentioned by companies is Data Analysis. The most in demand tool is R.

Who will benefit?


Evaluating material from this learning opportunity with nearly 10,000 data-related job descriptions, we find that those in or pursuing Data Scientist roles would benefit the most.