This course provides a comprehensive introduction to data management, data warehousing, and SQL analytics, equipping learners with the essential skills needed to organize, process, and analyse data effectively. It explores foundational database concepts, design and implementation, Relational Database use cases, and practical tools for data management. Learners will gain hands-on experience in setting up databases and using SQL to analyse data and generate insights, applying methodologies that are directly relevant to real-world scenarios.
- Foundational Knowledge: Develop a strong understanding of data management and its critical role in data analytics, decision-making, and compliance. Explore the impact of data warehousing on business intelligence, analytics, and industry-wide decision-making.
- Database Design: Engage in a process that ensures data flows efficiently, eliminating redundancy and duplication. Start from a case study, move through logical data modelling, and create a relational schema ready for implementation and integration with SQL.
- Comprehensive SQL Skills: Build a solid foundation in SQL, enabling you to write efficient queries, manage databases, and perform data analysis with confidence to tackle complex data challenges.
- Practical Tools: Master key tools and practices for data governance, security, quality, and storage, including Microsoft SQL Server, SSMS, and SSIS. Learn how to facilitate ETL processes and optimize data workflows while applying essential data warehousing techniques for efficient storage, organization, and analysis of large datasets.
- Hands-On Learning: Apply data management concepts through real-world case studies and practical exercises, gaining confidence in managing organizational data, optimizing databases, and implementing advanced SQL solutions.
- Project-Based Experience: Develop a project that applies your SQL skills to produce a practical, tangible outcome, reinforcing your learning and preparing you for real-world data management challenges.
