Data quality and data cleaning: the 5 dimensions of data quality, why data quality matters and the real impact of bad data giving a concrete example, and data cleaning techniques, tools used for data cleaning and ending by a real-world example

This lecture introduces the concept of Data Quality, emphasizing its importance and the consequences of poor data. It delves into Data Cleaning, illustrating its relevance with a concrete case study, covering techniques, tools, and a real-world application. The session concludes by synthesizing key insights, equipping participants with a practical understanding of managing and improving data quality effectively.