This training will enable the learner to understand the importance of data cleaning in data analysis using MS Excel. In particular, the learner can identify common data quality issues, such as missing values, duplicates, and inconsistencies. Guided with the tools and functionalities in MS Excel, they will be immersed in different data cleaning techniques, including imputation, outlier detection, and handling duplicates. The training will also feature hands-on data exploration and cleaning to facilitate active learning, knowledge application, and effective skills development. This training provides a foundation for ensuring data quality issues in the workplace, but basic familiarity with MS Excel would be beneficial.