This hands-on workshop is designed for graduate students who want to improve their data preparation and cleaning skills using Tableau. Participants will learn essential techniques for identifying, correcting, and transforming data anomalies, missing values, duplicates, and other common data quality issues. By the end of the workshop, students will have the skills to prepare clean and accurate datasets for visualization and analysis. The workshop will also introduce Tableau Prep, a powerful tool within the Tableau ecosystem designed for data cleaning, reshaping, and combining datasets. Workshop Objectives: To introduce the concepts of data cleaning and cleansing. To teach students how to use Tableau and Tableau Prep for data preparation. To demonstrate various techniques to handle missing data, outliers, and duplicates. To cover data transformation and aggregation processes to prepare data for visualization. To help participants improve their overall data management and ensure better insights from their visualizations. Expected Benefits to Students: Improved Data Accuracy: Students will learn techniques to ensure that the datasets they work with are clean, accurate, and ready for analysis. Enhanced Data Preparation Skills: Students will gain hands-on experience with Tableau and Tableau Prep to efficiently clean and transform datasets, which are critical steps before visualization and analysis. Efficiency in Data Handling: Students will learn how to streamline the data preparation process, reducing the time spent on manual data cleaning tasks and improving overall workflow. Stronger Analysis and Visualization: Clean data leads to better visualizations and more reliable insights. Students will be able to present findings with confidence, knowing their data is accurate and consistent.