R Programming for Data Analysis, Part 1

Catalog description

This introductory course provides learners with the foundational R programming skills and essential data analysis techniques needed to work effectively with real -world datasets. In Part 1, students will become familiar with the RStudio environment, understand the core components of the R language, and apply the tidyverse toolkit for initial data exploration. Students will gain the ability to perform descriptive data analysis by creating impactful visualizations, importing and cleaning diverse data sources, and preparing datasets for further analysis. By the end of this co urse, learners will be able to confidently apply R programming principles and descriptive analysis methods to understand and present complex data.