SQL & databases
SQL course for beginners: query data with SELECT, join tables and summarise results with GROUP BY, with no prior IT knowledge needed to get started.


Database courses on SQL, data modelling, PostgreSQL, Oracle and Redis. Compare topics, levels and practical focus, then enquire about training.
Databases include courses on queries, data models, administration and performance of relational and in-memory storage systems. The topics suit analysts, developers, database administrators and specialists who want to analyse data themselves. As an entry point, use “SQL & databases”. If you design structures, choose “Relational data modelling”. For operations and monitoring, there is “Administering and monitoring PostgreSQL”. Decide by task: query, design or operate. Product names such as PostgreSQL, Oracle or Redis refer to technologies and imply no partnership. Prerequisites, scope and dates are confirmed on enquiry.
SQL course for beginners: query data with SELECT, join tables and summarise results with GROUP BY, with no prior IT knowledge needed to get started.
Database design training: model relational data, define keys, normalise up to third normal form and plan queries with performance in mind.
Decide when Redis usefully complements a service based on concrete access patterns. Plan cache keys, expiry and stale-data handling, then examine how the application behaves when the cache is unavailable.
Run Azure SQL and SQL Server: deployment, security, query tuning, automation and HA/DR, in preparation for the DP-300 exam.
T-SQL from the ground up: query, join, group and change data in SQL Server, Azure SQL Database, Azure Synapse and Microsoft Fabric.
Azure Cosmos DB for AI applications: data models, partitioning, vector search, RAG and agent memory, in preparation for DP-420.
Plan, monitor, encrypt and recover databases after failures: this course prepares you for the current CompTIA DataSys+ DS0-002 exam.
Run Oracle databases: storage structures, user privileges, backup and monitoring for administrators who already know basic SQL queries.
Analyse slow Oracle SQL queries: read execution plans, judge indexes and fix database performance bottlenecks in a targeted, repeatable way.
Use database services in Oracle Cloud: provision instances, secure access, monitor performance and document how you operate them day to day.
Run and monitor PostgreSQL: configuration, roles, backups and monitoring for stable day-to-day database operations in a growing team.
Speed up PostgreSQL queries: read EXPLAIN plans, use indexes deliberately and spot bottlenecks in storage and data access with real measurements.
Build applications on MySQL: design a schema, write queries, use transactions and shape database access from your application code securely.
Operate and secure MySQL databases: user management, backups, a replication overview and monitoring for reliable ongoing operations.
In this MongoDB course you design document models, choose between embedding and referencing, and test queries for performance and data quality.
This advanced MongoDB course covers running clusters, setting up monitoring and checking performance, security and resilience in a practical scenario.
This beginner SQL course shows how to query and prepare data and evaluate it for analyses and reports in a clear, traceable and efficient way.