Data Analysis with SQL, Python and Spotfire Training Course

This instructor-led, live training in New Zealand (online or on-site) 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:

• Apply 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.

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

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

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

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

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

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

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimise queries for better performance using Analytic Functions.

Course Format

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

The aim of this course is to provide a clear understanding of how to use SQL across various databases (Oracle, SQL Server, MS Access, etc.). A solid grasp of analytic functions and techniques for joining different tables within a database will enable delegates to shift data analysis operations to the database layer, rather than relying on the MS Excel application. This approach also supports the development of any IT system that utilises a relational database.

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

This instructor-led, live training (available online or on-site) is designed for beginner-level users who wish to understand and apply 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 summarise data.
• Perform basic joins across multiple tables.

Course Format

• Interactive lecture and discussion.
• Abundant exercises and practical sessions.
• Hands-on implementation in a live lab environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (available online or on-site) is designed for data analysts, database professionals, and software developers at a beginner to intermediate level who wish to learn SQL to manage databases effectively.

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

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

This live, instructor-led training in New Zealand (online or on-site) is designed for beginners, programmers, and database administrators who wish to learn or enhance their SQL development skills and knowledge.

By the end of this training, participants will be able to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

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

This instructor-led, live training (available online or on-site) is designed for users ranging from beginner to advanced levels who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will have gained 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.

Course Format

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

Course Customisation Options

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

This SQL training course is designed for individuals seeking to develop the essential skills required to extract and analyse data from any database and generate reports. Participants will learn:

• how to write SQL queries
• what relational databases are and how to utilise them
• what relationships are and how to establish them
• the structure of data
• differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for crafting queries

This SQL course focuses on standard ANSI SQL, making it applicable across any database platform, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL and other relational database systems.

SQL is a powerful language for managing and analysing structured data in relational databases.

This instructor-led, live training (available online or on-site) is designed for intermediate-level users who wish to deepen their SQL skills in complex querying, data manipulation, and performance optimisation.

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

• Write complex SQL queries using advanced joins and subqueries.
• Manipulate data using INSERT, UPDATE, and DELETE.
• Use window functions for advanced analytics.
• Optimise queries for better performance.

Format of the Course

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

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This SQL training course is designed for individuals seeking to develop the essential skills required to extract and analyse data using Microsoft Access. Participants will learn:

• how to write SQL queries
• what relational databases are and how to utilise them
• what relationships are and how to establish them
• the structure of data
• the differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for crafting effective queries

This SQL course focuses specifically on the Microsoft Access dialect of SQL.

The course addresses key questions

• How do you build a query?
• What capabilities does SQL offer?
• What is a relational database?
• What is the structure of SQL and its commands?

• How to construct a query?
• What constitutes a relational database?
• What is the structure and what are the SQL commands?

This course is designed for individuals already familiar with SQL. It explores the inner workings common to all SQL databases, as well as MySQL-specific syntax, functions, and features.