Global Learning for Operational Leaders
Classroom
15 sessions
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Online / Live
15 sessions
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Introduction
Course overview
Why Attend
Data alone has limited value unless it is collected correctly, analyzed effectively, and communicated clearly. This course provides a complete end-to-end understanding of the data journey—from collection and preparation to visualization and storytelling. Participants will learn how to gather reliable data, transform it into meaningful insights, and communicate those insights in a compelling narrative that supports decision-making. This is an essential skill set for professionals working in analytics, reporting, business intelligence, and management roles.
Course Methodology
This course is highly practical and interactive, combining real-world datasets with hands-on exercises. Participants will engage in data collection simulations, cleaning and structuring activities, and visualization workshops. Case studies will demonstrate how data storytelling is used in business and government decision-making. Practical exercises will focus on turning raw data into dashboards and narrative presentations using visualization tools and structured storytelling frameworks.
Course Objectives
By the end of this course, participants will be able to:
- Understand the full data lifecycle from collection to communication
- Apply effective data collection techniques and ensure data quality
- Clean, structure, and prepare datasets for analysis
- Create meaningful visualizations using appropriate chart types
- Apply storytelling techniques to communicate insights clearly
- Develop dashboards and reports for decision-making
- Translate complex data into simple, actionable messages
- Improve data-driven communication within organizations
Target Audience
- Data Analysts and Business Analysts
- Business Intelligence Professionals
- Project and Operations Managers
- Engineers and Technical Professionals
- Marketing and Research Teams
- Anyone involved in reporting and decision-making
Target Competencies
- Data collection and validation
- Data cleaning and preparation
- Data visualization design
- Analytical thinking and interpretation
- Data storytelling and communication
- Dashboard and reporting development
- Decision support and insight delivery
What you will achieve
Learning objectives
- Understand the full data lifecycle from collection to communication
- Apply effective data collection techniques and ensure data quality
- Clean, structure, and prepare datasets for analysis
- Create meaningful visualizations using appropriate chart types
- Apply storytelling techniques to communicate insights clearly
- Develop dashboards and reports for decision-making
- Translate complex data into simple, actionable messages
- Improve data-driven communication within organizations
Who should attend
Target audience
- Data Analysts and Business Analysts
- Business Intelligence Professionals
- Project and Operations Managers
- Engineers and Technical Professionals
- Marketing and Research Teams
- Anyone involved in reporting and decision-making
- Target Competencies
- Data collection and validation
Methodology
Learning approach
- This course is highly practical and interactive, combining real-world datasets with hands-on exercises. Participants will engage in data collection simulations, cleaning and structuring activities, and visualization workshops. Case studies will demonstrate how data storytelling is used in business and government decision-making. Practical exercises will focus on turning raw data into dashboards and narrative presentations using visualization tools and structured storytelling frameworks.
Course content
Five focused days of learning and application
Day 1
Fundamentals of Data Collection
- Introduction to the data lifecycle
- Primary vs secondary data sources
- Data collection methods and tools
- Ensuring data accuracy and reliability
- Ethical considerations in data collection
Day 2
Data Preparation and Structuring
- Data cleaning techniques and error handling
- Handling missing, duplicate, and inconsistent data
- Data formatting and transformation
- Structuring datasets for analysis
- Data validation and quality control
Day 3
Data Visualization Principles
- Importance of visualization in data communication
- Selecting appropriate chart types
- Visual perception and design principles
- Avoiding misleading or unclear visuals
- Building clear and effective visuals
Day 4
Data Storytelling Techniques
- Turning data into a narrative
- Structuring a compelling data story
- Identifying key insights and messages
- Audience-focused communication strategies
- Combining visuals with storytelling elements
Day 5
Dashboards and Practical Project
- Designing dashboards for decision-making
- KPI selection and performance indicators
- Building a complete data story project
- Presentation of findings and insights
- Best practices for continuous improvement
FAQ
Frequently asked questions
What does Data Collection, Visualization & Storytelling (DMBI-006) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 5 - 9 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
Data Analysts and Business Analysts, Business Intelligence Professionals, Project and Operations Managers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include London, Barcelona, Munich, Amsterdam.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.
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Choose an available date and venue, add your participants, and we will email a formal quotation for Data Collection, Visualization & Storytelling to your business address.