Data Quality (D103)

Author: Thomas Linder
Supported by: Christian Medina and Lucas Mesquita

This course provides users with a practical introduction to the topic and importance of data quality. It discusses key concepts and offers clear exercises on accessing good data and evaluating the quality of data.

Learning Objectives:

✱ Understand the importance of data quality
✱ Understand the key terms when engaging with data
✱ Know how and where to find good quality data
✱ Recognize the barriers to accessing data and documentation
✱ Know how to evaluate the quality of a dataset
  • Course Introduction
  • Module 1: Introduction and Key Terms
  • Module 2: Evaluating Your Data
  • Module 3: Finding Good Data
  • Post-course Survey
Completion rules
  • All units must be completed