An Intensive 5-day Training Course
Data Science for Operational Excellence
Building Data-Driven Strategies for Sustainable Excellence
CLASSROOM DATES
INTRODUCTION
Data Science for Operational Excellence is a forward-looking and practical Course that begins with a reality that defines today’s world: data drives every aspect of modern life. From how organisations produce, deliver, and innovate to how customers behave and markets evolve, data now sits at the core of decision-making. With global data volumes increasing at unprecedented speed, organisations that do not harness data science risk inefficiency, rising operational costs, and missed opportunities.
Poor data quality alone costs companies millions each year, and many managers admit to making decisions using incomplete or outdated information. These challenges underline the importance of equipping professionals with analytical tools that reveal insights, reduce waste, and support evidence-based operational performance.
This Data Science for Operational Excellence Training Course introduces participants to the principles, techniques, and tools that connect data science with process improvement, predictive modelling, and continuous enhancement. Through practical frameworks, case examples, and hands-on techniques, delegates learn how data can streamline workflows, enhance forecasting accuracy, and enable smarter, faster decisions. The course emphasises the role of automation, intelligent data models, and advanced analytics in building resilient operations and sustained competitive advantage.
Key themes included in Data Science for Operational Excellence Course:
- Practical applications of data science for operational improvement
- Predictive analytics for forecasting and performance monitoring
- Techniques for waste reduction and process optimisation
- Visualisation and communication of operational insights
- Embedding data-driven thinking across organisational functions
TRAINING OBJECTIVES
By the end of this Data Science for Operational Excellence Training Course, participants will be able to:
- Analyse operational data to identify inefficiencies, bottlenecks, and improvement opportunities
- Apply predictive analytics and data-driven models to enhance decision-making
- Design evidence-based strategies that optimise processes and improve performance
- Use methodologies for monitoring operational outcomes and tracking key performance indicators
- Implement continuous improvement practices supported by advanced analytics and automation
WHO SHOULD ATTEND?
This Data Science for Operational Excellence Course is suitable for professionals who aim to strengthen operational performance, make data-driven decisions, and enhance process efficiency. It is particularly valuable for individuals involved in performance improvement, analytics, or operational planning.
This EuroMaTech training course will greatly benefit:
- Operational Managers responsible for productivity and workflow optimisation
- Business Analysts and Data Professionals applying analytics in operational contexts
- Quality and Process Improvement Specialists focused on continuous enhancement
- Supply Chain and Logistics Professionals seeking better forecasting and resource utilisation
- Department Heads and Team Leaders working toward improved operational outcomes
TRAINING METHODOLOGY
This Data Science for Operational Excellence Course uses a dynamic combination of interactive lectures, practical demonstrations, case studies, and group exercises. The methodology ensures participants understand both the concepts and the application of data science in operational settings.
Hands-on sessions allow delegates to practise using data tools, analyse operational scenarios, and explore real-world datasets. Discussions and group exercises support the exchange of ideas, enabling participants to apply learning directly to their workplace challenges. This immersive approach reinforces understanding and provides participants with practical skills they can implement immediately.
TRAINING SUMMARY
The Data Science for Operational Excellence Training Course provides a comprehensive foundation for applying data science to improve operational outcomes. Participants explore essential analytical tools, performance monitoring techniques, and data-driven approaches that enhance accuracy, reduce costs, and strengthen organisational resilience. The course emphasises predictive analytics, automation, and continuous improvement strategies that support long-term operational excellence.
Delegates learn how to assess operational data, communicate insights effectively, and integrate analytical methods into daily decision-making. They also gain confidence using data visualisation tools and predictive models to support performance forecasting and resource planning. By the end of the course, participants will be prepared to drive operational improvements, embed data-driven culture, and contribute to sustainable organisational success.
TRAINING OUTLINE
Day 1: Foundations of Data Science and Operational Excellence
- Understanding the Rise of Data in Modern Business
- Principles of Operational Excellence and Its Connection to Data
- Data-Driven Decision-Making: Why Intuition is Not Enough
- Identifying Sources of Operational Data (Internal & External)
- Introduction to Descriptive, Predictive, and Prescriptive Analytics
- data Science Successes and Failures in Operations
- Key Tools and Technologies for Data Analytics
- Laying the Foundation for a Data-Driven Culture
Day 2: Tools, Techniques, and Data Management
- Data Collection, Storage, and Governance Essentials
- Ensuring Data Quality: Accuracy, Consistency, and Timeliness
- Data Visualisation: Turning Complexity into Clarity
- Introduction to Common Analytics Platforms
- Using Dashboards for Real-Time Operational Monitoring
- Statistical Techniques for Process Improvement
- Managing Big Data and Unstructured Information
- Ethical and Responsible Use of Data
Day 3: Applying Data Science for Process Optimisation
- Using Data to Identify Inefficiencies and Bottlenecks
- Lean Six Sigma and Data Analytics Integration
- Predictive Analytics for Demand Forecasting and Resource Planning
- Using Machine Learning to Optimise Workflows
- Performance Metrics and KPIs for Operational Excellence
- Practical Exercise: Analysing an Operational Dataset
- Supply Chain Optimisation with Data
- Designing a Data-Driven Improvement Plan
Day 4: Driving Continuous Improvement with Data Science
- Embedding Data-Driven Thinking Across the Organisation
- Using Advanced Analytics for Risk Management and Resilience
- Automation and AI in Operations: Opportunities and Challenges
- Communicating Insights to Decision-Makers Effectively
- Leading Change: EvOercoming Resistance to Data Adoption
- Building Sustainable Operational Excellence Strategies
- Operational Problem-Solving with Data
- Final Reflections and Action Planning for Workplace Application
Day 5: Strategic Integration and Future-Focused Operational Excellence
- Integrating Data Science into Long-Term Operational Strategies
- Aligning Analytics Insights with Organisational Goals and Performance Targets
- Advanced Forecasting Approaches for Capacity, Risk, and Resource Planning
- Scaling Data-Driven Initiatives Across Multiple Functions and Departments
- Sustaining a Data-Driven Culture Through Strong Governance and Continuous Improvement
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ACCREDITATION
EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.
Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.
The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE. We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.
