Overview
Master data quality to drive reliable business decisions. Learn to identify risks, apply core metrics, and resolve issues like duplicates or missing data. Ensure your data is "decision-ready" for AI and analytics while building a culture of trust and accuracy across your organization.
Syllabus
- Course 1: Data Quality Foundations
- Course 2: Evaluating and Improving Data Quality
Courses
-
You will learn why data quality matters and how it affects the reliability of insights, recommendations, AI outputs, automation, compliance, and business decisions. You will also learn the most important data quality metrics and how to connect each metric to real business risks.
-
You will learn how to identify common data quality issues and choose practical actions to improve trust in data. You will focus on missing values, duplicates, invalid entries, inconsistent formats, outdated records, irrelevant fields, and unreliable sources. You will also learn how cleaning, transformation, governance, documentation, and data culture help make data more dependable.