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 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 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.
Who Should Attend?
The course has been designed for
engineers, technologists, and managers whose jobs involve the
manipulation, representation, and analysis of data.
The Basics Sources of Data
Using Centrifugal Pump Performance Data.
Fundamental Statistics Mean,
Using Production Data from A Batch Fermentation Process.
Data Mining and Representation Single
Two and Multi-Dimensional Data Visualization
Using Petrochemical Plant Control Data
Probability and Confidence Probability Theory,
Using Statistical Process Control Data in The Machinery Protection System
Histograms and Frequency of Occurrence Histograms
Using Historical Failure Data from A Group of Reciprocating Compressors.
Using Failure Data from Large Three Phase Induction Motors
Data Comparison Correlation Analysis
Quality Control Applications Terminology
Reliability Evaluation Applications Terminology
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