About the Data Analysis Techniques for Engineers, Technologists & Managers Course

​Time Training Center's 5-day/30-hour Data Analysis Techniques for Engineers, Technologists & Managers course provides professionals with essential theoretical knowledge and practical skills for effective data analysis.​ It empowers you to interpret data and make informed decisions that drive performance improvements across various industrial and technological sectors.

The course covers a wide range of analytical techniques, including descriptive statistics, regression analysis, process monitoring, and hypothesis testing. You gain hands-on experience using Excel's Data Analysis Toolpak, enabling you to tackle complex data challenges in performance monitoring, process improvement, and strategic decision-making. 

Through a blend of expert-led sessions, interactive workshops, and real-world case studies that we provide. You will develop the analytical skills to identify trends, provide actionable insights, and optimise business operations in a dynamic global environment.

Data Analysis Techniques for Engineers, Technologists & Managers Course Objectives

​By the end of this Data Analysis Techniques for Engineers, Technologists & Managers training course, participants will be able to:​

• Understand and apply a range of fundamental and advanced data analysis techniques to assess and improve operational performance.
• Recognise which analytical methods are most suitable for different types of business, engineering, and quality-related problems.
• Accurately summarise, describe, and interpret data using descriptive statistics and visual representation techniques.
• Evaluate data variation and understand the implications of distribution types, particularly in relation to statistical control and predictive analysis.
• Use control charts and statistical process control principles to monitor and forecast process behaviour.
• Analyse relationships between variables using regression, correlation, and analysis of variance (ANOVA).
• Calculate process capability indices to evaluate performance against specifications.
• Estimate confidence intervals and apply hypothesis testing for both normal and non-normal data sets.
• Utilise the Excel Data Analysis Toolpak and statistical functions to perform real-world data analysis tasks effectively.
• Communicate findings and recommendations clearly using appropriate visualisations and statistical summaries, ensuring alignment with organisational objectives.

Training Methodology

We employ a comprehensive and applied learning strategy, integrating theory with real-world implementation:

• 30% Conceptual Learning: Expert-led sessions on catalytic theory and engineering principles
• 20% Interactive Workshops: Group exercises, presentations, and technical discussion forums
• 30% Case-Based Learning: Industry-specific examples and troubleshooting scenarios
• 20% Technology Integration: Digital tools, simulations, and catalyst modeling applications

Note: Instructors may adjust the training approach to fit technical requirements or participant engagement levels.

Course Instructor:

Our courses are delivered by highly qualified instructors with extensive experience in both industry and academia. With decades of hands-on expertise across a wide range of technical disciplines, our instructors are dedicated to providing high-quality, impactful training that equips participants with practical knowledge and skills they can immediately apply. Full instructor profiles are available upon request.

Course Fees

The course fee includes the following:

• Course Materials: Comprehensive participant materials, including lecture notes, slides, and case study documents. (Tablet or IPAD)
• Coffee/Tea: Provided on arrival and during morning and afternoon breaks to keep participants refreshed.
• Buffet Lunch: Served daily to ensure participants have an opportunity to network and recharge during lunch breaks.

Who Should Attend Our Data Analysis Techniques for Engineers, Technologists & Managers Course?

This training course is highly beneficial for professionals involved in the collection, analysis, interpretation, and reporting of data, including:

• Engineers and Technologists working in operations, maintenance, quality, or process improvement
• Technical Managers and Team Leaders involved in performance analysis and decision-making
• Data Analysts and Business Analysts in engineering, manufacturing, or service sectors
• Quality Assurance and Control Personnel
• Production and Process Engineers
• Continuous Improvement and Six Sigma Practitioners
• Professionals involved in procurement, HR analytics, or customer service analysis
• Basic familiarity with Microsoft Excel and a comfort with working numerically are assumed.

Data Analysis Techniques for Engineers, Technologists & Managers Course Outline

Module 1: Introduction to Data Analysis in the Modern Workplace

• Pre-test assessment of existing knowledge
• The role and significance of data analysis in business and engineering
• Types of data: continuous, categorical, and attribute data
• Common challenges in data analysis: errors, bias, and variability
• The data acquisition model: capturing quality data for reliable results

Module 2: Visualisation and Interpretation of Categorical Data

• Bar charts and derived visuals: effective categorical comparisons
• Pareto analysis for prioritisation and defect analysis
• Location charts and frequency plots for categorical data

Module 3: Descriptive Statistics and Data Summarisation

• Measures of central tendency: mean, median, mode
• Percentiles, deciles, and quartiles for data segmentation
• Measures of dispersion: range, variance, standard deviation

Module 4: Understanding Data Variation and Distributions

• Interpreting histograms, check sheets, and box & whisker plots
• The concept and significance of the normal distribution
• Six Sigma principles and the origin of the Z-score

Module 5: Monitoring and Forecasting Process Performance

• Types of process variation: common vs. special causes
• Statistical control and tampering explained
• Introduction to control charts and predictive analysis
• Real-world applications of control charts

Module 6: Data Distributions and Their Business Applications

• Poisson and binomial distributions and their relevance
• Understanding time-based event modelling
• Choosing appropriate distributions for analysis

Module 7: Analysing Relationships Between Variables

• Creating and interpreting scatter diagrams
• Correlation analysis and calculating correlation coefficients
• Covariance and its meaning
• Linear regression and least squares estimation
• Introduction to multivariate regression and transformation techniques

Module 8: Process Capability and Specification Conformance

• Defining and understanding process capability indices
• Specification limits and actual process performance comparison
• Calculating Cp, Cpk and interpreting capability results

Module 9: Estimating Values and Confidence Intervals

• Understanding point estimates
• Calculating confidence intervals for means and standard deviations
• Practical implications in decision-making
• Module 10: Hypothesis Testing for Decision Validation
• Hypothesis testing framework: null and alternative hypotheses
• t-tests, F-tests, and Chi-square applications
• ANOVA (Analysis of Variance) for comparing group means
• Using contingency tables for categorical data analysis

Module 11: Non-Normal Data and Alternative Statistical Approaches

• Challenges with non-normal data
• Using Chi-square for distribution testing
• Non-parametric testing overview

Module 12: Integrating the Data Analysis Process

• The structured data analysis model: from raw data to insight
• Best practices for drawing conclusions and making recommendations
• Case studies: real-world applications in engineering, operations, HR, and supply chain
• Using Excel Data Analysis Toolpak and formulas for common analyses

Module 13: Capstone and Assessment

• Review of Core Topics and Key Learnings
• Final Group Discussion and Q&A
• Post-Test Evaluation
• Certificate Presentation

Course Completion Certificate

Upon completing your course at Time Training Center, you will be awarded an official Course Completion Certificate, recognizing your achievement and the skills you've gained. This certificate validates your expertise and reflects the high standards of training you've undergone.