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An Interactive 5-Day Training Course

Advanced Data Analysis Techniques

Modelling, Simulation and Predictive Analytics

course categories

20 Nov - 24 Nov 2022



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19 Jun - 23 Jun 2023



Book your place

20 Nov - 24 Nov 2023



Book your place

Current View: In-Person format Go to Online format

Course Introduction

The Internet of Things, the consequential growth of Big Data, and the ever- increasing requirements to model and predict, mean that many of the analytical opportunities and needs of a modern, high performing company cannot be met using conventional statistical methods alone. More and more companies are wrestling with complex modelling and simulation problems, addressing matters like trying to optimise production systems, to maximise performance efficiency, to minimize operating costs, to combat risk, to detect fraud and to predict future behaviour and outcomes.

This Oxford Management Centre training course explores how to perform complex numerical problem solving using Microsoft Excel 2016 (or 365). The course shows by example how to build on the methods learned in the Data Analysis Techniques training course to create variety of powerful modelling, simulation and predictive analytical methods. The methods introduced include Bayesian models, Newtonian and genetic optimisation methods, Monte Carlo simulation, Markov models, advanced What If analysis, Time Series models, Linear Programming, and more.

The course adopts a problem-based learning approach, in which delegates are presented with series of real problems drawn from the widest possible range of applications - they range from insurance to supply chain logistics, from chemistry to engineering, and from product optimisation to financial risk assessment. Each problem presents and exemplifies the need for a different modelling or analytical approach. Delegates will spend almost all of their time exploring the use of modelling and simulation methods using Microsoft Excel, to develop solutions to the totally realistic problems that are presented.


  • To teach delegates how to solve a wide range of business problems which require modelling, simulation and predictive analytical approaches
  • To show delegates how to implement a wide range of the more common modelling, simulation and predictive analytical methods using Microsoft Excel and the Solver tool
  • To provide delegates with both a conceptual understanding and practical experience of a range of the more common modelling, simulation and predictive analytical techniques
  • To give delegates the ability to recognize which modelling, simulation and predictive analysis methods are best suited to which types of problems
  • To give delegates sufficient background and situation experience to be able to judge when an applied technique will likely lead to incorrect conclusions
  • To provide a clear understanding of why the best companies in the world see modelling, simulation and predictive analysis as being essential to delivering the right quality products and optimised services at the lowest possible costs

Who should attend?

This course is designed for professionals whose jobs involve the manipulation, representation, interpretation and / or analysis of data. It involves extensive modelling and analysis, and must enjoy detailed working with numerical data to solve complex problems.

This Oxford Management Centre Analytics training course on Advanced Data Analysis Techniques is intended for delegates who have already attended the Data Analysis Techniques training course (this is a necessary prerequisite for this training) and hence, who already have a solid understanding of conventional data analysis methods.

This Analytics training shows by example how to build on the method learned in the Data Analysis Techniques training course and to create a variety of powerful modelling, simulation and predictive analytical methods.

Course outline

  • Forecasting and Future Behavior Prediction
  • Advanced Modelling and Simulation of Business Processes
  • Risk Assessment and Risk - Informed Decision Making
  • Conventional and Artificial Intelligence Optimisation Techniques
  • Linear Programming
  • Advanced Scenario Analysis
  • Monte Carlo Simulation
  • Big Data
  • K- Means Clustering
  • Principal Component Analysis

To request for the full course outline, you may send email: info@oxford-management.com or call: +971 4 5896164


Oxford Management Centre Certificate will be provided to delegates who successfully completed the training course.


All Training Courses delivered by Oxford Management by default are eligible for CPE Credit.

In association with

GLOMACS Training & Consultancy
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PetroKnowledge Visit website
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