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Professional training course · DMBI-006

Data Collection, Visualization & Storytelling

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…

  • 5 daysClassroom
  • 14Upcoming dates
  • 4Cities
  • £3,450Fees from

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 

Course outline

  1. 1Day 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
  2. 2Day 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
  3. 3Day 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
  4. 4Day 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
  5. 5Day 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

Dates and fees

16NOV 16 - 20 Nov 20265 days BarcelonaSpain £3,850per delegate Register
7DEC 7 - 11 Dec 20265 days MunichGermany £3,450per delegate Register
18JAN 18 - 22 Jan 20275 days LondonUnited Kingdom £4,200per delegate Register
15FEB 15 - 19 Feb 20275 days BarcelonaSpain £3,850per delegate Register
15MAR 15 - 19 Mar 20275 days AmsterdamNetherlands £4,250per delegate Register
19APR 19 - 23 Apr 20275 days LondonUnited Kingdom £4,200per delegate Register
17MAY 17 - 21 May 20275 days MunichGermany £4,250per delegate Register
21JUN 21 - 25 Jun 20275 days LondonUnited Kingdom £4,200per delegate Register
19JUL 19 - 23 Jul 20275 days BarcelonaSpain £3,850per delegate Register
16AUG 16 - 20 Aug 20275 days MunichGermany £4,250per delegate Register
20SEP 20 - 24 Sep 20275 days LondonUnited Kingdom £4,200per delegate Register
18OCT 18 - 22 Oct 20275 days BarcelonaSpain £3,850per delegate Register
15NOV 15 - 19 Nov 20275 days AmsterdamNetherlands £4,250per delegate Register
20DEC 20 - 24 Dec 20275 days LondonUnited Kingdom £4,200per delegate Register

Questions

Frequently asked questions

How long is the Data Collection, Visualization & Storytelling course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Data Collection, Visualization & Storytelling course?

The next public date is 16 - 20 Nov 2026 in Barcelona. There are 14 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Barcelona, Munich, London, Amsterdam.

How much does the course cost?

Fees start from £3,450 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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Training a team?

Any course in our catalogue can be delivered privately for your organisation, at your offices or in one of our cities, with content shaped around your goals.