Duration: 3 days

Overview: The use of advanced analytics has revolutionised the way businesses understand the way their customers behave. From fraud detection, to customer insight, companies are building models to answer questions such as to whom should we offer credit, which transactions should be investigated for fraud, or what is the long term value of a customer? This course explores, in detail, the full analytics process from the planning stages to model implementation. The main emphasis of the course is on the processes and techniques involved in building models taking the practical restraints of everyday business into account.

Outcomes: After attending this course delegates will be able to build analytics models that help solve business problems and deploy these models to make a real difference to their organisations.

Pre-requisites: An understanding of basic statistics.

Who: This course is aimed at people with a statistical, mathematical or other suitably technical background who wish to move into analytics.

Outline: The course will explore the following topics through a series of lectures and interactive workshop sessions:

  • An overview of the analytics process
  • What business problems can analytics help to solve?
  • Exploratory data analysis
  • Data modification
  • Predictive modelling techniques
  • Unsupervised analysis techniques
  • Model testing and validation
  • Model implementation
  • On-going model validation