3-Hour Intro to Data Analytics and Data Literacy Essentials Workshop

Workshop Description

Data analytics is not just about creating charts or reporting what happened. It is about asking the right business question, examining evidence, and interpreting what the data means for decision-making.

This 3-hour introductory workshop introduces learners to the foundations of analytical thinking and data literacy. Participants will explore how to turn a business problem into a structured analytical question, examine a simple dataset for patterns, and distinguish useful insights from surface-level observations.

The focus is on building the mindset and vocabulary needed to work with data more confidently, not on advanced statistics or programming. Learners will see how business context, data exploration, pattern recognition, and AI-assisted tools work together to support clearer analysis and better decisions.

Why Attend This Workshop?

✔ Understand how business problems can be framed as analytical questions
✔ Analyse the difference between a report, a chart, and a real business insight
✔ Assess how datasets can be explored visually and analytically
✔ Examine how patterns, trends, anomalies, and correlations support decision-making
✔ Understand how AI-assisted tools can speed up exploration without replacing human judgment

Workshop Outline

• Understand what data analytics is and why it matters for business decisions
• Analyse how to frame business problems into structured data questions
• Explore the role of hypotheses, data requirements, and business context
• Examine a simple dataset to identify trends, anomalies, and possible relationships
• Interpret data patterns and translate them into business implications
• Understand how AI-assisted tools support summarisation and early pattern discovery

Workshop Highlights

Phase 1 — Business Problem Framing
✔ Understand why analytics starts with the question, not the chart
✔ Translate business issues into structured analytical questions
✔ Identify hypotheses, required data, and possible decision outcomes
✔ Distinguish descriptive reporting from insight-led analysis

Phase 2 — Dataset Exploration and Pattern Recognition
✔ Explore how datasets can be examined visually and analytically
✔ Identify basic trends, anomalies, comparisons, and correlations
✔ Understand how statistical thinking supports clearer interpretation
✔ Recognise the difference between meaningful signal and noise

Phase 3 — Insight Interpretation and Communication
✔ Translate observed patterns into business implications
✔ Use AI-assisted tools to support summarisation and exploration
✔ Communicate initial findings with appropriate caveats and limitations
✔ Understand how this foundation supports applied analytics in the full course and later modules

Who Should Attend

• Aspiring data analysts
• Business executives and managers who work with reports or dashboards
• Marketing and operations professionals responsible for performance analysis
• Fresh graduates entering analytics, business intelligence, or data-related roles
• Professionals transitioning into data-driven functions
• Learners preparing for the Certified AI-Enabled Data Analyst pathway

Pre-requisites

• No prior analytics training required
• Basic spreadsheet familiarity
• Comfort with numbers and basic arithmetic
• Interest in using data to answer business questions
• No programming or coding experience required

What You’ll Walk Away With

• Clear understanding of what data analytics is really used for
• Business problem framing lens
• Basic analytical question framework
• Dataset exploration awareness
• Pattern interpretation mindset
• Understanding of how AI can support, but not replace, analytical judgment

Frequently Asked Questions (FAQs)