The 5 best Data Governance & Quality courses in 2026

Tired of spending hours on tedious data cleaning? Imagine if AI could handle the heavy lifting for you, turning days of work into minutes. From detecting errors to organizing vast datasets, Generative AI can not only save you time but also elevate your data quality to new heights. Dive into this course to learn how to transform data prep from a chore into a game-changing advantage! This short course was created to help you leverage Generative AI to simplify data cleaning and preparation, making workflows faster, more efficient, and accurate. By completing this course, you’ll gain hands-on kn

By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; 3. Define the three representation dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dim

In this course, you will explore various types of source systems, learn how they generate and update data, and troubleshoot common issues you might encounter when trying to connect to these systems in the real world. You’ll dive into the details of common ingestion patterns and implement batch and streaming pipelines. You’ll automate and orchestrate your data pipelines using infrastructure as code and pipelines as code tools. You’ll also explore AWS and open source tools for monitoring your data systems and data quality.

Welcome to Governing Data in the Intelligence Age, a practical and engaging course designed for professionals who want to better understand how to manage, protect, and unlock the full value of data. This beginner-to-intermediate program introduces essential, proven concepts and frameworks that organizations use to treat data as a strategic asset while effectively managing risk. Throughout the course, you will explore the core building blocks of modern data governance, including roles and responsibilities, policies and standards, data quality management, and operating models that support enter

Plan, capture, and manage high-quality research data — electronic data capture, data strategy, and study workflows.