Between the spreadsheets: Classifying and fixing dirty data for data science

In this session, Susan Walsh will share real-life examples of dirty data, and the consequences it has on the output, such as decision making, reporting, analytics, AI, and machine learning.  You’ll also learn how to make quick, accurate checks and changes to your own data in excel, regardless of your level of experience, explain why data accuracy and maintenance are so important, and implement best practices for this.