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Wrangling Data in the Tidyverse

Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data.

Created by Johns Hopkins University


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What you’ll learn


In this educational opportunity you may acquire the skills required by organizations in 2021. The most in demand technique within the educational opportunity that is often requested by employers is Data Analysis. The most in demand tool is R. You will also learn about Programming Skills, a trait often requested in job advertisements.

Who will benefit?


Contrasting material from this learning opportunity with nearly 10,000 data-related job postings, we find that those in or pursuing Data Scientist roles have the most to gain.