The Dangers of Dirty Data: Ensuring Accuracy in Classification

Explore the critical issue of data quality in this 46-minute talk from the Data Science Festival. Learn from Susan Walsh, the Classification Guru, as she shares her decade of experience in fixing dirty data. Discover real-life examples of data inaccuracies and their impact on decision-making, reporting, analytics, AI, and machine learning. Gain practical skills for quick and accurate data checks in Excel, regardless of your experience level. Understand the importance of data accuracy and maintenance, and learn best practices for ensuring data quality. Master the COAT method for data management and develop techniques for effective data spot-checking. Walk away with valuable insights on the consequences of dirty data and strategies to improve data accuracy in your own work.