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URL: https://www.coursera.org/learn/sql-data-quality-security-and-governance

⇱ SQL Data Quality, Security, and Governance | Coursera

SQL Data Quality, Security, and Governance

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SQL Data Quality, Security, and Governance

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Gain insight into a topic and learn the fundamentals.
Advanced level

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2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build automated SQL validation frameworks to detect and resolve data quality issues in production pipelines.

  • Implement comprehensive data security controls including masking, monitoring, and compliance auditing practices.

  • Create strategic roadmaps and cost-benefit models to guide data infrastructure modernization decisions.

  • Develop performance dashboards and analytics to optimize data warehouse scaling and operational efficiency.

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Recently updated!

March 2026

Assessments

30 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Level Up: Advanced SQL for Data Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 16 modules in this course

You'll develop the critical skills to ensure data reliability, security, and strategic value in modern organizations. Through hands-on SQL projects, you'll implement automated data quality frameworks, apply security controls to protect sensitive information, and create data-driven strategies for infrastructure evolution. You'll build monitoring dashboards, conduct security audits against industry standards, and develop cost-benefit models for strategic decision-making.

This comprehensive approach integrates technical data engineering with business strategy, preparing you to drive organizational success through trustworthy, well-governed data systems that meet compliance requirements.

You will implement automated data quality tests directly into data models using SQL-based validation frameworks.

What's included

3 videos1 reading2 assignments

3 videos•Total 13 minutes
  • Why Data Quality Automation Prevents Million-Dollar Mistakes•2 minutes
  • Essential Components of Automated Data Quality Testing•5 minutes
  • Building Automated dbt Tests for Customer Data Models•6 minutes
1 reading•Total 12 minutes
  • Implementing dbt Tests for Production Data Models•12 minutes
2 assignments•Total 24 minutes
  • Implement Comprehensive dbt Test Suite for Sales Data Model•18 minutes
  • Automated Data Quality Testing Validation•6 minutes

You will systematically investigate data quality failures using data lineage, system logs, and analytical techniques to identify underlying causes.

What's included

1 video1 reading2 assignments

1 video•Total 7 minutes
  • Data Lineage Analysis for Failure Investigation•7 minutes
1 reading•Total 12 minutes
  • Systematic Approaches to Data Quality Failure Investigation•12 minutes
2 assignments•Total 27 minutes
  • Conduct Root Cause Analysis for Production Data Quality Failure•20 minutes
  • Root Cause Analysis Methodology Validation•7 minutes

You will build scalable SQL validation frameworks that automatically generate quality checks using database metadata and statistical analysis.

What's included

3 videos1 reading3 assignments1 ungraded lab

3 videos•Total 15 minutes
  • Why Reusable Validation Frameworks Scale Data Quality Across Organizations•3 minutes
  • Building SQL Validation Templates Using Database Metadata•7 minutes
  • Creating Automated SQL Validation Framework with Statistical Analysis•5 minutes
1 reading•Total 12 minutes
  • Metadata-Driven SQL Validation Framework Architecture•12 minutes
3 assignments•Total 35 minutes
  • Build Enterprise SQL Validation Framework with Statistical Thresholds•20 minutes
  • SQL Validation Framework Fundamentals Knowledge Check•3 minutes
  • SQL Validation Framework Mastery Assessment•12 minutes
1 ungraded lab•Total 20 minutes
  • Extend a SQL Validation Framework with Null Pattern and Accepted Value Templates•20 minutes

You will learn the quantitative measurement of critical data quality dimensions through systematic calculation methods that provide objective assessment of data reliability.

What's included

3 videos1 reading2 assignments

3 videos•Total 16 minutes
  • Core Data Quality Dimensions and Mathematical Foundations•7 minutes
  • Advanced Quality Calculation Techniques for Enterprise Systems•5 minutes
  • Building Quality Calculation Dashboards in SQL•4 minutes
1 reading•Total 10 minutes
  • Implementing Quality Calculations in SQL and Python•10 minutes
2 assignments•Total 20 minutes
  • Implementing Quality Metrics for E-commerce Product Database•15 minutes
  • Data Quality Dimension Calculations Knowledge Check•5 minutes

You will learn the evaluation of quality key performance indicators over time and develop actionable remediation strategies that prevent quality degradation before it impacts business operations.

What's included

3 videos2 readings2 assignments

3 videos•Total 14 minutes
  • How Quality Monitoring Prevents Business Disasters•3 minutes
  • Building Quality KPI Monitoring Systems with Trend Analysis•6 minutes
  • Creating Quality KPI Dashboards with Trend Analysis•5 minutes
2 readings•Total 20 minutes
  • Quality KPI Frameworks for Enterprise Data Systems•10 minutes
  • Advanced Remediation Strategies for Data Quality Issues•10 minutes
2 assignments•Total 21 minutes
  • Quality KPI Analysis and Remediation Planning for Financial Services•18 minutes
  • Remediation Strategy Planning Review•3 minutes

You will create resilient automated SQL routines that detect, quarantine, and reprocess data errors without manual intervention, building self-healing data systems at enterprise scale.

What's included

3 videos1 reading2 assignments1 ungraded lab

3 videos•Total 21 minutes
  • How Automated Error Handling Transforms Data Engineering Excellence•4 minutes
  • Automated Error Handling Architecture and SQL Implementation Patterns•11 minutes
  • Building Complete Automated Error Handling Systems in SQL•6 minutes
1 reading•Total 10 minutes
  • Advanced SQL Patterns for Self-Healing Data Systems•10 minutes
2 assignments•Total 15 minutes
  • Automated Error Handling Implementation Knowledge Check•5 minutes
  • Data Quality and Automated Error Handling Mastery Assessment•10 minutes
1 ungraded lab•Total 60 minutes
  • Automated SQL Error Handling and Recovery System•60 minutes

You will learn column-level data masking techniques to protect sensitive information while maintaining data utility for business operations.

What's included

3 videos1 reading2 assignments

3 videos•Total 18 minutes
  • Why Data Masking Matters: Protecting Enterprise Assets•4 minutes
  • Data Masking Fundamentals: Static, Dynamic, and Column-Level Techniques •5 minutes
  • Implementing Column-Level Masking Policies in SQL Server•9 minutes
1 reading•Total 7 minutes
  • Column-Level Data Masking: Architecture, Policies, and Best Practices•7 minutes
2 assignments•Total 23 minutes
  • Hands-On Data Masking Implementation for Healthcare Database•20 minutes
  • Data Masking Knowledge Check•3 minutes

You will learn systematic analysis of database audit logs to identify suspicious access patterns and potential security threats through SQL queries and anomaly detection techniques.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videos•Total 22 minutes
  • Why Audit Log Analysis Saves Organizations: Real Breach Detection Stories•5 minutes
  • SQL Techniques for Audit Log Anomaly Detection•6 minutes
  • Building SQL Queries for Audit Log Anomaly Detection•11 minutes
1 reading•Total 7 minutes
  • Database Audit Log Analysis: Structure, Patterns, and Anomaly Identification•7 minutes
1 assignment•Total 3 minutes
  • Audit Log Analysis Techniques Knowledge Check•3 minutes
1 ungraded lab•Total 20 minutes
  • Database Audit Log Anomaly Detection•20 minutes

You will learn systematic evaluation of security controls against industry compliance standards including SOC 2 and NIST frameworks, identifying gaps and developing remediation strategies.

What's included

3 videos1 reading2 assignments

3 videos•Total 20 minutes
  • Why Security Controls Evaluation Prevents Organizational Failure•5 minutes
  • Security Controls Mapping and Gap Analysis Methodology•7 minutes
  • SOC 2 Security Controls Assessment Using Excel Templates•8 minutes
1 reading•Total 7 minutes
  • SOC 2 and NIST Framework Fundamentals for Security Assessment•7 minutes
2 assignments•Total 18 minutes
  • Security Controls Evaluation Knowledge Check•3 minutes
  • "Comprehensive Security Controls Evaluation and Compliance Assessment "•15 minutes

You will systematically analyze current data architectures, document existing SQL tooling capabilities, and identify critical gaps that prevent achievement of target-state objectives.

What's included

2 videos1 reading1 assignment

2 videos•Total 13 minutes
  • Mapping Current State: Architecture Documentation Strategies•8 minutes
  • Hands-On Gap Analysis: Comparing Current vs Target States•6 minutes
1 reading•Total 10 minutes
  • Systematic Architecture Assessment: The Foundation of Strategic Data Engineering•10 minutes
1 assignment•Total 3 minutes
  • Architecture Gap Analysis Knowledge Check•3 minutes

You will develop and apply SQL-derived financial models to evaluate data engineering initiatives, quantify ROI for modernization projects, and create compelling business cases that support strategic investment decisions.

What's included

3 videos1 reading1 assignment

3 videos•Total 18 minutes
  • The Business Case That Changed Everything•4 minutes
  • Building ROI Models: From SQL Queries to Executive Presentations•7 minutes
  • Hands-On Financial Modeling: ROI Calculator Development•7 minutes
1 reading•Total 10 minutes
  • SQL-Derived Financial Modeling: Quantifying Data Engineering ROI•10 minutes
1 assignment•Total 3 minutes
  • Cost-Benefit Modeling Fundamentals Knowledge Check•3 minutes

You will create comprehensive strategic roadmaps that sequence legacy data transformation migrations by business impact and technical complexity, ensuring minimal disruption while maximizing business value realization.

What's included

1 video2 readings3 assignments

1 video•Total 4 minutes
  • The Migration That Transformed a Fortune 500 Company•4 minutes
2 readings•Total 20 minutes
  • Sequencing Legacy Transformation for Maximum Business Impact•10 minutes
  • Podcast: Building Your Strategic Migration Roadmap•10 minutes
3 assignments•Total 33 minutes
  • Develop Your Strategic Migration Roadmap•15 minutes
  • Strategic Migration Planning Knowledge Check•3 minutes
  • Comprehensive Architecture Modernization Business Case•15 minutes

You will create functional SQL-powered dashboards that monitor real-time pipeline performance metrics and prevent costly failures through proactive data infrastructure management.

What's included

2 videos1 reading2 assignments

2 videos•Total 14 minutes
  • SQL Dashboard Architecture for Pipeline Performance Monitoring•8 minutes
  • Building Your First SQL Pipeline Monitoring Dashboard•7 minutes
1 reading•Total 10 minutes
  • Essential SQL Patterns for Pipeline Performance Dashboards•10 minutes
2 assignments•Total 21 minutes
  • Create Production-Ready Pipeline Monitoring Dashboard•18 minutes
  • Pipeline Monitoring Dashboard Knowledge Check•3 minutes

You will develop comprehensive ROI analysis frameworks for warehouse scaling decisions, creating executive-ready recommendations that connect technical performance improvements to measurable business value and financial impact.

What's included

2 videos2 assignments

2 videos•Total 16 minutes
  • Building Executive-Ready ROI Models for Infrastructure Scaling•9 minutes
  • Creating ROI Analysis Spreadsheets for Warehouse Scaling Decisions•7 minutes
2 assignments•Total 23 minutes
  • Develop Executive ROI Presentation for Warehouse Scaling Initiative•20 minutes
  • Warehouse Scaling ROI Analysis Knowledge Check•3 minutes

You will implement correlation analysis techniques to identify and measure relationships between numeric variables, creating actionable insights that guide strategic business decisions and optimize data-driven processes.

What's included

3 videos1 reading2 assignments

3 videos•Total 26 minutes
  • The Hidden Pattern That Saved Netflix $50M: Correlation Analysis in Action•3 minutes
  • Correlation Analysis Fundamentals for Data Engineering Applications•11 minutes
  • Implementing Correlation Analysis in SQL for Business Intelligence•12 minutes
1 reading•Total 10 minutes
  • Advanced Correlation Techniques for Production Data Systems•10 minutes
2 assignments•Total 18 minutes
  • Correlation Analysis Techniques Knowledge Check•3 minutes
  • Correlation Analysis Mastery Assessment•15 minutes

You will create a comprehensive data governance framework by integrating automated data quality testing, security monitoring, and strategic data architecture planning. This project combines SQL validation logic, security audit analysis, and data-driven decision making to build enterprise-ready data systems.

What's included

4 readings1 assignment

4 readings•Total 90 minutes
  • Why This Project Matters•10 minutes
  • Project Requirements•10 minutes
  • Graded Assignment: SQL Data Governance Framework•60 minutes
  • Solution Key•10 minutes
1 assignment•Total 15 minutes
  • Graded Quiz: SQL Data Quality, Security, and Governance•15 minutes

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Frequently asked questions

In this course, SQL-based data governance means using SQL to keep data reliable, secure, and well controlled as it moves through modern data systems. The emphasis is on building repeatable validation, monitoring, masking, auditing, and decision-support practices instead of relying on occasional manual checks.

You would use it when data is flowing through production pipelines, feeding reporting, or containing sensitive fields that need consistent oversight. The course treats it as most useful when teams need automated quality checks, stronger access protection, and clear ways to spot issues early.

It sits across the ongoing part of a data workflow, after data models and pipelines exist but before teams can trust them for regular use. In this course, it connects validation, security review, monitoring, and follow-up analysis so data systems stay dependable as they scale and change.

One-off data checks usually look for problems after something has already gone wrong, while SQL-based data governance builds rules and oversight into normal data operations. Here, the focus is on continuous validation, access control, auditability, and structured remediation rather than isolated spot checks.

A working knowledge of SQL is helpful because the course centers on writing validation, monitoring, and analysis queries. It also helps to be comfortable thinking about tables, pipelines, and production-style data issues, even if you have not built a full governance process before.

SQL is the main tool, and some automated data quality testing is shown through dbt. The main methods focus on repeatable validation, security auditing, and monitoring analysis.

You practice building automated quality checks, investigating failed validations, applying masking and audit analysis, and creating monitoring queries for pipeline health. You also evaluate control gaps and turn technical findings into remediation plans or ROI-backed recommendations.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.