Currently Running Sessions

Making Your Data Accessible and Understandable to Others

Presenting data effectively is more than just creating charts and graphs - it’s about context, clarity, and storytelling. Understanding who the audience is, what they need to know, and how best to communicate insights ensures that data is both accessible and meaningful.

This 4-hour masterclass, delivered via the Consortium for Health Analytics Intelligence (CHAIn), provides a structured overview of key principles in data presentation. The session covers context in data communication, the difference between exploratory and explanatory analysis, the fundamentals of data storytelling, and core visualisation principles.

This session provides a high-level introduction to these concepts but does not include practical exercises or case studies. For those requiring hands-on application, the two-day course "Presenting Your Data to Multi-Professional Groups" offers more in-depth exploration and practice.

Effective Business Decisions Using Data Analysis 

Data-driven decision-making has become essential in modern business environments. The ability to extract meaningful insights from data can support strategic planning, inform policies, and enhance operational efficiency. However, effective data analysis requires more than just processing numbers - it demands critical interpretation and practical application in real-world management settings.

This Effective Business Decisions Using Data Analysis course will explore how professionals can leverage data analytics as a decision support tool. Participants will gain hands-on experience with Microsoft Excel and learn how to interpret and apply analytical results in a management context. The course will focus on real-world applications, ensuring that participants leave with practical skills they can immediately apply in their roles.

This course will cover:

✔ How data analytics can be used to support business decision-making
✔ The role of data quality and preparation in analysis
✔ Practical applications of data analysis techniques in management
✔ How to interpret statistical findings accurately
✔ Strategies for integrating data-driven thinking into decision-making