COURSE OVERVIEW

 This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using “MS Excel” applications. 

Corporate ethos which demands continual improvement in work place efficiencies and reduced operating, maintenance, support service and administration costs means that managers, analysts and their advisors are faced with ever-challenging performance targets. In order to make decisions resulting in improved business performance, it is vital to base decision making on appropriate analysis and interpretation of data. 

This course adopts an applications-oriented approach, minimizing the time spent on the mathematics of analysis and maximizing the time spent on the use of practical methods and understanding why such methods work. Delegates will explore Excel's functionality and Data Analysis Tool Pack to investigate realistic data from a wide range of technical and non technical example applications. 

 

Organizations that are able to make optimum decisions will enhance their ability to compete on the global stage. 

 

The participants on this course, and therefore the teams that they work within will, as a result of their training, be better positioned to influence the organization with recommendations based on objective data analysis that in turn produce a higher performing business. 

 

Individuals exposed to this training will develop new insights into the field of data analysis, and they will learn why the best companies in the world see data analysis essential to delivering the right quality products and services at the lowest costs. 

 

Participants will gain an understanding and practical experience of a range of the more common analytical techniques and data representation methods, which have direct relevance to a wide range of issues. The ability to recognize which types of analysis are best suited to particular types of issue. A sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions.