Introduction

Welcome to the section Ensuring Data Quality. Here, we will delve into critical themes for maintaining data integrity. We’ll start with a data quality overview, outlining key concepts and their importance. Next, we’ll tackle completeness and missing data, focusing on strategies to handle incomplete datasets. The topic of validity and consistency will cover data checks to ensure accuracy. With data validation techniques, we’ll introduce efficient methods for information validation. We’ll also address the importance of unique data and managing uniqueness and duplicated values. Version control will be explored to understand tracking changes within data sets. We will wrap up by identifying common problems and solutions in five data quality issues – and how to fix them.

After each content segment, you will complete an exercise to consolidate your learning. Good luck with your studies! 🍀