Data Analysis Techniques for Engineers & Technologists

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. 
 

practical capabilities
 

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. A Working vocabulary of analytical terms that will enable you 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. 
 

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 engineering problems. The ability to recognize which types of analysis are best suited to particular types of problems. A sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions. 

• Provide delegates with a working vocabulary of analytical terms to enable them to converse with people who are experts in the area of data analysis, statistics, and probability, and to be able to read and comprehend common textbooks in this field.
• Provide delegates with both 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 analytical problems.
• Give delegates the ability to recognize which types of analysis are best suited to particular problems
• Give delegates the ability to recognize which types of analysis are best suited to particular types of problems.
• Provide delegates with an overview of the main data analysis applications within Engineering Systems
• Give Delegates sufficient background and theoretical knowledge to be able to judge when applied Techniques will likely lead to incorrect conclusions.