Main MenuMain Menu
Course Code: MRMC 114
744 Course Visits
Data Analysis Techniques for Engineers & Technologists
Course Sector:
Maintenance & Reliability Management
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Online, Virtual $2,150
02
5 Days
Dubai, UAE $4,250
03
5 Days
Bangkok , Thailand $4,950
Introduction
Training course introducion / brief
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 which
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.
Course Objectives
At the end of the training course, participants will be able to
- 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 of 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 an applied Techniques will likely lead to incorrect conclusions.
Course Audience
Who is this course for, and can benefit the most
- Facilities Engineer
- Facilities Engineering Manager
- Facilities Manager
- Facilities Specialist / Coordinator
- Health and Safety Engineer
- Maintenance Group Leader
- Maintenance Helper / Assistant
- Maintenance Manager
- Maintenance Superintendent
- Maintenance Supervisor
- Mechanical Reliability Engineer
- Network Reliability Engineer
- Operations and Maintenance Specialist
- Reliability Engineer
Course Outline
The course aims and learning outcomes
Module (01) Basics and Fundamentals
- 1.1 Sources of Data
- 1.2 Data Sampling
- 1.3 Data Accuracy
- 1.4 Simple Representations
- 1.5 Dealing with Practical Issues
Module (02) Fundamental Statistics
- 2.1 Mean, Average, Median, Mode & Rank
- 2.2 Lies and Statistics
- 2.3 Compensations for small sample Sizes
- 2.4 Descriptive Statistics
- 2.5 Workshop using Production Data from a batch Fermentation process
Module (03) Data Mining and Representation
- 3.1 Single and Multi-dimensional Data Visualization
- 3.2 Trend Analysis
- 3.3 Box and Whisker Charts
- 3.4 Common Pitfalls and Problems
- 3.5 Workshop using Plant Data
Module (04) Probability and Confidence
- 4.1 Probability Theory
- 4.2 Properties of Distributions
- 4.3 Expected Values
- 4.4 Weibull Distribution
- 4.5 Binomial Distribution
- 4.6 Workshop using Statistical Processes
Module (05) Histograms & Frequency of Occurrence
- 5.1 Histograms
- 5.2 Pareto Analysis
- 5.3 Cumulative percentage Analysis
- 5.4 Percentile Analysis
- 5.5 Workshop using Historical Failure Data
Module (06) Frequency Analysis
- 6.1 The Fourier Transform
- 6.2 Periodic and a-periodic Data
- 6.3 Inverse Transformation
- 6.4 Practical Implications of Sample Rate
- 6.5 Dynamic Range
- 6.6 Workshop using Vibration Data from Machine
Module (07) Regression Analysis and Curve Fitting
- 7.1 Linear and Non-Linear Regression
- 7.2 Min Variance, Max Likelihood
- 7.3 Least Squares Fits
- 7.4 Curve Fitting Theory
- 7.5 Linear, Exponential and Polynomial Curve Fits
- 7.6 Predictive Methods
- 7.7 Workshop using Data from Large Equipment
- 8.1 Correlation Analysis
- 8.2 The Autocorrelation Function
- 8.3 Practical Considerations of Data Set Dimensionality
- 8.4 Workshop using Diesel Engine Performance and Pollutant Emission Data.
Module (09) The power of Excel and MATLAB
- 9.1 Pivot Tables
- 9.2 The Analytical Toolbox
- 9.3 Internet-based Analysis Tools
- 9.4 Dynamic Spreadsheets
- 9.5 Sensitivity Analysis
- 9.6 Visualization
- 9.7 Workshop involving step-by step Examples
Module (10) Quality Control Applications
- 10.1 Terminology
- 10.2 Control Charts
- 10.3 Statistical Control
- 10.4 Estimating the Process Mean and Variation
- 10.5 Capability Indexes
- 10.6 Workshop on Constructing the X bar and R Charts
Module (11) Reliability Evaluation Applications
- 11.1 Terminology
- 11.2 Reliability Definition and Concepts
- 11.3 Reliability Functions
- 11.4 Reliability Process
- 11.5 Workshop on Evaluating the hazard Rate, Survivor Function, Failure Density and Cumulative Distribution Function.
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
Since 2001, we have been pioneering the training field in the middle east, we managed to unlock potential and help individuals, teams and organisations to be the best that they can be with our full and integrated solutions.
Quick Links
Our sister companies in Egypt and United Arab Emirates
MOST TRENDING
And Recommended Training Courses
trending
Certified Business Analysis Professional- IIBA
Date: Sep 1, 2025
Location:Dubai, UAE
trending
OSHA: Occupational Safety and Health Administration Standards
Date: Apr 13, 2025
Location:Riyadh, KSA
trending
The Risk Management Professional (PMI-RMP Exam Preparation)
Date: Jun 30, 2025
Location:Istanbul, Turkey
We believe in progress for everyone.
We helped more than 10.000 clients over 20 countries on 4 continents in boosting their knowledge, skills and careers.
Boost Training And Consulting © All Copyrights Reserved 2025