Transform, Analyze, and Report Data with R

This beginner-level course is your entry into the world of robust, scalable data analysis with R. Designed for aspiring analysts, you will learn to build sophisticated, end-to-end projects from the ground up. You'll master the "Tidyverse" approach, using dplyr to write clean, pipe-based workflows that merge, filter, and prepare complex raw data for analysis. You will also master automation—the hallmark of a modern analyst. Using R Markdown and knitr, you'll transform static scripts into dynamic reports that automatically update visualizations with new data. Finally, you'll dive into data science by rigorously evaluating predictive models with diagnostic tools such as ROC curves and cross-validation. Through hands-on learnings, you'll leave with a portfolio-ready project and the ability to build efficient, reproducible workflows. No prior R experience is necessary

• Build reproducible end-to-end data analysis workflows in R
• Use the Tidyverse approach to clean and prepare data effectively
• Automate dynamic reporting with R Markdown and knitr
• Evaluate predictive models with diagnostic tools and validation

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities