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Data Quality & Governance: Learn the Essentials Fast
Rating: 4.4 out of 5(116 ratings)
492 students

Data Quality & Governance: Learn the Essentials Fast

A beginner-friendly, hands-on introduction to profiling, quality rules, glossaries, and real-world governance workflows
Created byDataXGovern Inc
Last updated 10/2025
English
English [Auto],

What you'll learn

  • Understand Data Management Solution
  • Learn how to improve data quality, governance, and master data management
  • Empower your organization with AI-powered data management and automation
  • Learn what is data observability and why we need it ?

Course content

4 sections • 20 lectures • 2h 26m total length

  • Why data?0:46

    Explore data and data management fundamentals to explain why data matters, identify challenges of poor data management, and outline key governance, quality, and cataloging principles for a structured data approach.

  • What is Data1:31

    Define data as raw facts that become meaningful information, and identify structured, unstructured, and semi-structured types with examples. Explain data's role in decision making, trend analysis, prediction, and automation.

  • Data Management2:54

    Learn how data management collects, organizes, protects, and stores data across systems, enabling secure access for the right people and supporting governance, quality, metadata, and master data management.

  • Data Governance2:45

    Data governance defines who can access data, how it is used, and ensures compliance, supported by policies and standards, roles and responsibilities, security and compliance, and data lineage and ownership.

  • Data Quality3:59

    Explore data quality, including accuracy, completeness, consistency, timeliness, validity, and uniqueness, and identify common issues such as duplicates, incomplete data, inconsistent formats, outdated records, and misclassified data.

  • Data Catalog3:55

    Explore data cataloging as a centralized inventory that boosts data visibility, governance, and self-service analytics through metadata management, data lineage, search and classification, and access control.

  • Data
  • Real-Life Example4:57

    A library analogy shows data as books governed, cleansed, and up to date, searchable via a data catalog, all within a unified data management platform.

  • Quiz on Data Mangement

Requirements

  • No particular prerequisites. This is suitable to anyone looking to upskill their career in data management

Description

This course offers a clear and practical introduction to modern data governance and data quality management, specifically designed for beginners to intermediate professionals seeking to strengthen their knowledge of how trusted data is built and maintained across enterprise ecosystems.

By the end of this course, you’ll have a strong foundational understanding of how organizations manage trusted data using structured, repeatable workflows. The concepts are presented in a widely applicable manner — making it a great starting point no matter what platform your organization uses, from emerging solutions to well‑established data management environments.

You’ll explore key topics such as:

  • Profiling datasets to assess accuracy, completeness, and consistency

  • Creating and applying rule-based validation logic to ensure data quality

  • Managing business glossaries, metadata, and classification hierarchies

  • Tracking and resolving data quality issues through stewardship workflows

  • Leveraging AI-driven features for anomaly detection and smart suggestions

  • Aligning governance efforts with compliance, risk, and business policies

  • Monitoring data assets and understanding how to operationalize governance in real scenarios

Whether you're a data steward, analyst, engineer, or business stakeholder, this course helps you understand how governance and quality work in modern data environments and prepares you for deeper tool-specific learning and project participation.

No prior experience is required — only a curiosity to learn how organizations ensure their data is reliable, usable, compliant, and ready for analytics, AI, automation, and decision-making at scale.

Who this course is for:

  • This course is designed for anyone looking to strengthen their understanding of data management, quality, and governance. Whether you’re a beginner exploring foundational concepts or an experienced data professional seeking to automate and optimize workflows, this course will help you build the knowledge and confidence to manage trusted data effectively.

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