ABOUT THE COURSE
Corporate ethos which sees change as a survival necessity, coupled with continual demands to achieve greater production efficiencies and reduced operating / maintenance costs, means that engineers and technologists are faced with ever-increasing plant and process performance targets.
As a consequence, more and more reliance is being placed upon the accurate and reliable analysis, representation, and interpretation of data.
This course aims to provide engineers and technologists with the understanding and practical capabilities needed to convert data into information, and then to represent this information in ways that it can be readily exploited. To make decisions that result in improved business performance it is vital to base decision-making on appropriate analysis and interpretation of numerical data.
Organisations that are able to make optimum decisions will enhance their ability to compete on the global stage. The participants in this course, and therefore the teams that they work within will, as a result of their training, be better positioned to influence the organisation with recommendations based on objective data analysis that in turn produce a higher performing business.
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 issues will be addressed, and delegates will be given sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions.
Course Objectives:
This seminar aims to provide those involved in analyzing numerical data with the understanding and practical capabilities needed to convert data into information via appropriate analysis, and then represent these results in ways that can be readily communicated to others in the organisation.
Objectives include:
To provide delegates with both an understanding and practical experience of a range of the more common analytical techniques and representation methods for numerical data
To give delegates the ability to recognize which types of analysis are best suited to particular types of problems
To give delegates sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions
To provide delegates with a working vocabulary of analytical terms to enable them to converse with people who are experts in the areas of data analysis, statistics, and probability, and to be able to read and comprehend common textbooks and journal articles in this field
To introduce some basic statistical methods and concepts
To explore the use of relevant software for data analysis and the capabilities of the Data Analysis Tool Pack
It should be noted that the course does not cover the subjects of data acquisition, databases, data management, data warehousing, or the analysis of text-based information.
Target Participants: Who will benefit from this course?
The course has been designed for engineers, technologists, and professionals whose jobs involve the manipulation, representation, and analysis of data.
The course involves extensive computer-based data analysis and therefore delegates will be expected to be numerate and to enjoy working with numerical data on a computer.
TRAINING METHODOLOGY
The course adopts a problem-based learning approach, in which delegates are presented with a series of real numerical data analysis problems drawn from the widest possible range of applications – from engineering to finance and from logistics to quality control.
Each problem presents and exemplifies the need for a different data analysis approach. For reasons of time constraint it will not be possible to develop solutions during the course to all of the problems posed. Nevertheless, all delegates will be given comprehensive solutions to all of the problems, to take away with them at the end of the course, as future learning resources.
The course is entirely applications-oriented, minimizing the time spent on the mathematics of analysis and maximizing the time spent on the use of practical methods in statistical software, along with the understanding why such methods work.
Delegates will spend almost all of the time exploring data analysis and representation functionality, including the Data Analysis Tool Pack, to investigate the totally realistic data analysis problems.
Delegates are encouraged to bring their own data with them on disk, and time will be set aside to address delegates' individual issues and concerns