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data Intermediate 21 lessons

Data Governance & Quality

Manage data as a strategic asset. Implement data lineage, catalogs, and automated quality frameworks to ensure trust and compliance.

Bad data leads to bad decisions. This course focuses on the 'managerial' side of data engineering: Governance. You will learn to implement Data Catalogs to make data discoverable, track Data Lineage to understand dependencies, and enforce Data Quality using automated testing frameworks like Great Expectations. We cover Master Data Management (MDM), compliance (GDPR/CCPA) in engineering, and how to build a culture of data stewardship within an organization.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Data Stewards
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Complete Course Syllabus

  • 1
    Governance Frameworks
    People, processes, and technology for managing data assets.
  • 2
    Data Quality
    Defining accuracy, completeness, and consistency metrics.
  • 3
    Automated Testing
    Writing unit tests for data pipelines with Great Expectations.
  • 4
    Data Catalogs
    Metadata management and making data searchable.
  • 5
    Compliance & Security
    Handling PII, GDPR, and access controls in pipelines.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$100k - $140k

Career Paths

Data Governance Lead $110k-$150k
Data Quality Engineer $100k-$140k
Data Steward $90k-$130k

What You Will Learn

Implement Data Quality testing pipelines using Great Expectations
Establish Data Lineage to track data origin and transformation flow
Deploy Data Catalogs to democratize data access across the company
Define and enforce Data Governance policies for security and compliance
Master Data Management (MDM) strategies for single-source-of-truth

Skills You Will Gain

Data Governance Data Quality Testing Data Cataloging Compliance (GDPR) Master Data Management

Who Is This For

Data Engineers
Data Stewards
Analytics Managers

Prerequisites

Data Engineering basics
SQL knowledge

Data Governance & Quality FAQs

Is this boring?

It is critical infrastructure work for enterprise success.

Coding required?

Yes, specifically Python for quality testing frameworks.

Who hires this?

Banks, Healthcare, and large Tech companies.

Tools cost?

We use open-source tools like Great Expectations.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

Great Expectations
Amundsen
Collibra
Atlan
Python

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Your Learning Path

Master This Topic, Step by Step

Go from your first step to master level. Three simple steps, all about Data Governance & Quality.

Currently studying: Data Governance & Quality
Step 1 · Start Here

Data Governance & Quality Basics

Get the basics of Data Governance & Quality right, and everything after gets easier.

5 min Free to explore
Data Governance & Quality for Beginners
Take your first step — it's quick and simple
Step 2 · Level Up

Advanced Data Governance & Quality

This is where Data Governance & Quality gets exciting — deeper skills, real results.

5 min Free to explore
Advanced Data Governance & Quality Course
Keep climbing — start the advanced lesson
Step 3 · Master Level

Master Data Governance & Quality with AI

This is the shortcut: Weights & Biases helps you track experiments and visualize results — and master Data Governance & Quality faster.

5 min Free to explore
ML Experiment Tracking
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Start with Step 1. Each step builds on the one before it.
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