Through 22 structured labs, learners use R and RStudio to explore topics including descriptive statistics, regression, sampling, data visualization, SQL, classification, sentiment analysis, and more. Each lab provides clear instructions, working code examples, and practice exercises focused on real-world tasks. Students learn to manipulate, analyze, and visualize data using base R, the Tidyverse, and common analytics packages.

Built for classrooms and independent study alike, this workbook provides a strong foundation in applied analytics using R-no fluff, no shortcuts, just real code and real skills.

FULL resources - code, worksheets, markdown exercises for students, slides, answer keys and more - are available from the publisher for self-study or class use.

"About this title" may belong to another edition of this title.

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