We offer various training courses by academic experts with practical experience in data analysis, applied behavioural science, economics and business intelligence. These courses are typically presented as intensive two-day workshops, but can be adapted to suit the needs of your firm.

Introduction to Data Analysis in R

Converting data into insight requires the right set of skills and the right set of tools. This two-day workshop introduces participants to the R ecosystem and the types of data management and analysis tasks that R can be used for. R is one the most popular programming languages in the world and provides one of the best tailored interactive environments for flexible, powerful, and reproducible data management and analysis. The aim of the workshop is to equip participants with the foundational knowledge and skills necessary to execute data management and analysis tasks. Participants are also able to apply the techniques learnt throughout the course to extract meaningful insights from their own data.

Session topics:

  • Why R?
  • Up and running with R and RStudio
  • Getting data in and out of R
  • Welcome to the tidyverse:manipulating data in R
  • Visualising data in R using ggplot2
  • Going further with R

Developing ‘data translators’ within an organisation

Increasingly the world of big data and machine learning requires people to understand how data, and the insights derived from data, can be turned into actionable business processes. This two-day workshop focuses on how to develop these ‘data translation’ skills within an organisation. It is targeted at people who are responsible for extracting strategic or operational insights from data, but who may not have a technical or formal data science background.

Session topics:

  • Why data, and data science, matters
  • What is data, where does it come from and what is required to use it effectively?
  • Storing and using data
  • Data science and common machine learning approaches
  • Building effective data science processes in companies
  • From insight to action: strategies for choosing data science projects and implementing insights.

Introduction to Behavioural Economics

How do people make decisions? Most economic research suggests that people often behave as if they consider the costs and benefits of their actions. However, important psychological research has shown that common cognitive biases and choice heuristics can sometimes lead to erroneous beliefs and poor decisions. Behavioural economics (also known as Psychology and Economics) studies the joint influences of psychological and economic factors on human behaviour. Throughout the workshop theoretical concepts from economics and psychology will be explained using examples from laboratory or field experiments. It is targeted at firms that want to influence or predict the behaviour of clients; and would also be of interest to managers or business owners who want to improve the decision making and motivation of their employees.

Session topics:

  • Overview of behavioural economics
  • How do people make decision?
  • Decision fatigue, limited attention and the economics of persuasion
  • Choice heuristics and bad decisions
  • Uncertainty and risk
  • Procrastination, self-control and decisions over time
  • Nudging: the path of least resistance
  • The human brain


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Richard Barry