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Data Analysis and Visualization in R alpha

This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.

Created by Data Carpentry


What you’ll learn

Through this educational resource you may improve the compentencies demanded from companies these days. The most in demand technique from the educational resource that is often included from organizations is Data Analysis. The most relevant tool is R. You will also find out about Programming Skills, a trait frequently mentioned in job maps.

Who will benefit?

Comparing content from this learning resource with nearly 10,000 data-related job advertisements, we determine that those in or pursuing Data Scientist roles have the most to gain.