Online SQL Training in Australia

SQL is a standardised language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organisation, please contact us to arrange.

AI for SQL applies artificial intelligence and large language models (LLMs) to automate, enhance, and optimise how SQL queries are generated, executed, and interpreted within enterprise data environments.

This instructor-led live training (delivered online or on-site) is designed for intermediate-level data engineers and technical leads seeking to integrate AI capabilities into SQL workflows to enable natural language querying, intelligent optimisation, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs, including GPT, DeepSeek, LLaMA, Qwen, and Mistral, into SQL environments.
• Construct natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimisation and error detection.
• Design secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customisation Options

• To request a tailored training session for this course, please contact us to arrange.

SQL is a robust language designed for managing and analysing structured data within relational databases.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level users looking to enhance their SQL capabilities for complex querying, data manipulation, and performance optimisation.

Upon completion of this training, participants will be able to:

• Compose complex SQL queries employing advanced joins and subqueries.
• Manipulate data using INSERT, UPDATE, and DELETE commands.
• Utilise window functions for advanced analytics.
• Optimize queries to achieve superior performance.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange.

SQL is a standard language used for accessing and manipulating databases.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to understand and use SQL for data querying and reporting.

By the end of this training, participants will be able to:

• Understand the structure of relational databases.
• Write basic SQL statements to retrieve, filter, and sort data.
• Use aggregate functions to summarize data.
• Perform basic joins between multiple tables.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate data analysts, database professionals, and software developers who wish to learn SQL for effective database management.

Upon completion of this training, participants will be able to:

• Comprehend and utilise fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Utilise SQL to sort, filter, and summarise data.
• Execute more complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led, live training in Australia (online or onsite) is designed for data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualisation.

By the end of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualisations and charts with Tableau.

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

Participants will develop a solid grasp of the more sophisticated capabilities of Transact SQL, along with the ability to achieve the following objectives:

• Utilise queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Optimise queries for greater efficiency

This course is tailored for individuals who currently employ Transact SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly in data analysis and improving query speed.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This course is designed to give participants a thorough understanding of how to utilise SQL across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables, delegates will learn to shift data analysis workloads from Microsoft Excel directly to the database layer. This approach not only streamlines analysis but also supports the development of any IT system relying on relational databases.

This SQL training program is designed for individuals seeking to acquire the essential skills required to extract, analyse, and report on data from any database system. Participants will learn:

• how to compose SQL queries
• what relational databases are and how to utilise them effectively
• the concept of relations and how to establish them
• data structure fundamentals
• differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for writing queries

This SQL course focuses on generic ANSI SQL. It is applicable to any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.