Data Untangled: Transforming and Cleaning Data with dplyr
This course builds on the foundation established in the R foundations course by diving deeper into working with data frames. You will gain hands-on practice selecting, filtering, arranging, renaming, and mutating columns to prepare raw data for statistical analysis and visualization.
Topics covered include:
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Selecting specific columns or rows of a data frame based on names, positions, or logical conditions
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Filtering out unwanted observations or variables
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Creating new variables through mathematical operations or recombination of existing variables
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Handling missing data by dropping, replacing, or imputing values
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Grouping rows by a variable and calculating summary statistics for each group
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Reshaping data between wide and long formats
Course Content
WEEK 1
WEEK 2
WEEK 3
WEEK 4
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