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Updated in [July 20th, 2023]

This course provides an introduction to data cleaning, a critical step in the data analysis process. Participants will learn the basics of data cleaning, including how to identify and address common issues such as missing values, outliers, and incorrect data types. Through a step-by-step tutorial, participants will gain hands-on experience with a real-life dataset, learning how to apply data cleaning techniques to ensure the data is ready for further analysis. By the end of the course, participants will have a better understanding of the data cleaning process and the tools available to help them clean their own datasets.