This online course on Data Cleaning and Preparation using R is designed to equip participants with the essential skills and techniques needed to transform raw and messy data into clean and analysis-ready datasets. 

Whether you are a data analyst, scientist, or anyone working with data, this course will provide you with the necessary knowledge and practical experience to effectively handle data quality issues, missing values, outliers, and inconsistencies using R. 

Through a combination of video lectures, hands-on exercises, and real-world case studies, you will learn how to explore, clean, transform, and validate data, ensuring its accuracy and reliability for further analysis. 

By the end of this course, you will have the confidence and expertise to efficiently clean and prepare data using R, enabling you to derive meaningful insights and make informed decisions based on high-quality data.