Quantitative Data Analysis: Using AI and Human Judgement

Quantitative data analysis helps organisations answer the questions they rely on data to answer—from how many and what proportion, to what is typical, how results differ between groups, and what can be predicted. AI can now accelerate much of this work but getting useful and reliable answers still depends on knowing which questions are worth asking, choosing appropriate analysis and checking whether the results make sense.

Using a real dataset in Excel, participants work through practical exercises to conduct quantitative analysis directly and explore how AI tools can support the process. This one-day, hands-on course is designed for professionals who work with data and need to analyse or interpret quantitative information for decision-making. Participants develop the confidence to choose appropriate approaches, check AI-generated analysis and interpret what the results can—and cannot—tell them, leaving with practical skills and new insights from data.

• Understand how data and analytics complement human judgement to support better decision-making.
• Identify the types of data being analysed and determine which analytical approaches are valid.
• Answer “how many”, “what proportion” and “what’s typical” questions using Excel and AI tools.
• Assess differences between groups to determine whether they are statistically meaningful or likely to be noise.
• Build and interpret a simple regression model to understand what it can—and cannot—tell you.
• Spot when AI has applied the wrong test, misread data or produced a misleading result.
• Check AI-generated analysis using your own methods and determine when its output can be trusted.
• Identify which questions and results are worth acting on to focus analysis on what matters for decision-making.