Data Quality and Data Cleaning

In this lesson, we will learn data quality and data cleaning. We will understand missing values, duplicates, wrong data types, inconsistent categories, outliers, invalid values, and the data validation process through practical examples. ## Lesson objective In this lesson, we will learn Data Quality and Data Cleaning. In the previous lesson, we covered data types and data sources. We learned structured, semi-structured, unstructured data, numerical, categorical, nominal, ordinal, binary, date, text, and geographical data concepts. We also understood how internal, external, primary, and secondary data sources affect analysis.