Data management essentials

In today’s data-driven world, how well you manage information defines the agility, security, and intelligence of your business. Data Management Essentials is a foundational course designed to give professionals the practical knowledge and tools needed to organize, maintain, protect, and utilize data effectively across industries. Whether you're supporting analytics teams, handling business operations, or preparing for roles in IT and governance, this course builds your confidence in managing structured and unstructured data with precision and accountability. 📘 What You’ll Learn Core principles of data management, including lifecycle, governance, and architecture How to classify and organize data for usability, security, and compliance Techniques for metadata management, master data, and reference data Key concepts in data quality: profiling, cleansing, and validation Data storage strategies: relational vs. non-relational, cloud vs. on-prem Basics of database design and schema modeling Introduction to data privacy, regulatory frameworks (e.g., GDPR), and access controls How to support analytics, business intelligence, and digital transformation through effective data foundations 🧠 Tools & Systems Explored Microsoft Excel, SQL, and data dictionaries Relational databases (e.g., MySQL, PostgreSQL, SQL Server) Metadata tools and cataloging platforms (e.g., Alation, Collibra) Data visualization support tools (Power BI, Tableau) Governance models like DAMA-DMBOK or DCAM 🎯 Who Is This Course For? Operations and business professionals working with reports and data systems IT staff and data analysts new to structured data practices Students and early-career talent preparing for data roles Managers who oversee data teams or digital processes and want a clearer framework No coding or analytics background is required—this is a business-first, fundamentals-focused course designed to build confidence and understanding. 📊 Practice-Based Learning Each module includes: Business case scenarios for organizing and interpreting data Hands-on exercises to assess, clean, and manage datasets Templates for data inventories, policies, and governance frameworks Quizzes and checklist reviews to reinforce terminology and practices 📈 Outcome & Impact By the end of this course, you’ll be able to: Structure and manage data to support business needs and decision-making Communicate effectively with technical and analytics teams Enforce basic governance and data protection policies Prepare for advanced studies in data architecture, privacy, or analytics Become a reliable steward of information in any organization