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Introduction to Statistical Modelling

  • Format: In-person or online

  • Duration: Full-Day Workshop

  • Includes: Comprehensive workshop notes and reference materials, access to statistical package and certification of completion


This workshop provides an introductory exploration into the world of statistical modelling. Designed for individuals looking to gain a fundamental understanding of how statistical models are created and used to interpret data, the workshop will emphasise practical applications, ensuring participants can apply these concepts to real-world scenarios.


Key Topics

  • Basics of Statistical Theory

  • Types of Statistical Models

  • Model Building and Selection

  • Regression Analysis (Linear and Logistic)

  • Understanding Model Outputs

  • Applications in Real-World Scenarios


Learning Outcomes

  • Grasp the foundational principles of statistical modelling.

  • Develop skills to construct and select appropriate statistical models.

  • Learn to perform basic regression analysis.

  • Interpret and evaluate model outputs effectively.

  • Apply statistical modelling to solve practical problems.


Who Should Attend?

This workshop is ideal for beginners in statistics, data analysts, students, and professionals who wish to understand the basics of statistical modelling. No prior knowledge of advanced mathematics is required, but a basic understanding of statistics would be beneficial.


Why Attend?

  • Gain a solid foundation in statistical modelling, a crucial skill in many fields.

  • Enhance your data analysis capabilities, enabling better decision-making.

  • Prepare for more advanced studies or professional roles in data science and analytics.

  • Network with professionals and peers with similar interests.



The workshop is a mix of interactive lectures, hands-on exercises, and group discussions. Real-world case studies will be used to demonstrate the practical application of statistical models.

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