This course provides an opportunity to practice your R skills by cleaning a real-world complex healthcare dataset. In this course, you will be guided through the entire data cleaning process in R from start to finish on a real data project, learning best practices and tips for conducting reproducible data cleaning along the way. Specific topics covered include identifying and addressing missing values, handling data quality issues, and transforming raw data into a clean and structured format that's ready for analysis. While the focus of this course is on healthcare data, the skills taught are applicable to a wide range of data types. This course involves self-paced learning with pre-recorded tutorials and practice exercises that can be completed at your convenience.