Getting Started with Data Analysis using AI - Cairns

Unlock the true power of your data with AI. This hands-on course shows you how to use ChatGPT’s Advanced Data Analysis features to explore datasets, build visualisations, merge files, generate forecasts, and uncover actionable insights—without needing to be a data scientist. Through practical, real-world examples, you’ll learn how to work smarter, faster, and more confidently with data. Whether you’re analysing performance metrics, market trends, or operational data, this course gives you the skills to transform raw information into meaningful, business-ready insights.

Who Should Attend

This course is ideal for:

• Business professionals who work with data but are not data scientists
• Analysts, managers, and decision-makers seeking to improve data-driven thinking
• Consultants and project leads who need rapid, AI-assisted analytical capability
• Finance, marketing, operations, HR, and strategy teams using data to inform actions
• Data-literate professionals looking to expand their skills into AI-powered analytics
• “Technical but not business-focused” staff who want stronger business-analytics alignment
• Anyone wanting to use ChatGPT and AI tools to work faster, smarter, and more accurately

No coding or advanced statistics background is required.

What You Will Learn

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

AI & Data Skills

• Enable and use ChatGPT’s Advanced Data Analysis (ADA) features
• Upload and explore datasets directly in ChatGPT
• Identify trends, patterns, outliers, and descriptive statistics
• Merge multiple datasets and create clean, ready-to-use files
• Detect, understand, and correct analytical errors made by ADA
• Generate custom visualisations, including trend lines, comparisons, seasonality views, and forecasts

Analytical Techniques

• Conduct practical forecasting and interpret predicted trends
• Perform problem-solving using the same structured approaches taught in leading consulting firms
• Understand how to use internal, external, and alternative datasets to enhance analysis
• Learn how to validate insights and ensure analytical clarity

Business Application

• Communicate analytical findings clearly and persuasively
• Use data insights to support decisions, influence stakeholders, and create actionable recommendations