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Data

Data Quality (D103)


Description
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
Contenu
  • Course Introduction
  • Module 1: Introduction and Key Terms
  • Module 2: Evaluating Your Data
  • Module 3: Finding Good Data
  • Post-course Survey
Règles d'achèvement
  • Toutes les unités doivent être complétées
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