Course DMBI-006
Data Collection, Visualization & Storytelling
Data alone has limited value unless it is collected correctly, analyzed effectively, and communicated clearly. The outline covers Fundamentals of Data Collection, Data Preparation and Structuring, Data Visualization Prin...
- 5 daysClassroom or online
- 14Upcoming dates
- 4Cities
- €2,315Fees from
Classroom
14 sessionsOnline / Live
14 sessionsIntroduction
Course overview
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.
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
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.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Fundamentals of Data Collection
- Introduction to the data lifecycle
- Primary vs secondary data sources
- Data collection methods and tools
- Coffee break
- Data collection methods and tools (continued)
- 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
- Coffee break
- Data formatting and transformation (continued)
- 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
- Coffee break
- Visual perception and design principles (continued)
- 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
- Coffee break
- Identifying key insights and messages (continued)
- 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
- Coffee break
- Building a complete data story project (continued)
- Presentation of findings and insights
- Best practices for continuous improvement
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Data Collection, Visualization & Storytelling. Can't find your answer?
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 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
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?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Munich, London, Amsterdam.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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