Turn data into decisions. Learn how to communicate insights in the AI era.
This intensive two-week summer school provides students with the skills and confidence to transform complex data into clear, compelling visual stories that inform, persuade, and drive decision-making. The programme blends data literacy, visual design principles, storytelling frameworks, and artificial intelligence to help participants move beyond basic charts and dashboards. Students will learn how to design effective data visualisations, craft meaningful mnarratives, and responsibly leverage AI tools to accelerate analysis and storytelling. Through practical exercises and real-world datasets from retail, healthcare, and financial services, participants will progressively build towards an individual capstone project using a comprehensive coffee shop case study. No advanced technical background is required. The course is tool-agnostic and focuses on transferable thinking and design skills rather than software-specific instruction.
Course term:
Available seats:
Price:
Category:
Status:
Deadline:
03. 08. – 14. 08.
0
950 €
Bussiness & Marketing
Closed
20.07.2026
Course term: 03. 08. – 14. 08.
Available seats: 0
Price: 950 €
Category: Bussiness & Marketing
Status: Closed
Deadline: 20.07.2026
The course combines:
● Short lectures introducing key concepts
● Guided hands-on exercises using real datasets
● Group discussions and visual critique sessions
● AI-supported exploration and experimentation
● Individual coaching and feedback
● A final capstone presentation
Students are encouraged to use tools throughout the program (e.g. spreadsheets, BI tools, design tools, sketches, etc), as well as approved AI systems, to complete exercises and projects.
This course is ideal if you are considering careers in:
● Consulting
● Business analytics
● Marketing
● Strategy
● Startups
● Management
The Language of Visual Communication ● History of visual communication and data ● Key definitions and concepts in data visualisation ● Examples of effective and ineffective visual encodings ● Visual critique and interpretation exercises
Perception, Meaning, and Best Practices ● How humans perceive and interpret visual information ● Cognitive load and attention in data visuals ● Best practices for charts and dashboards ● Practical redesign exercises using a retail dataset
Contextualising Data Storytelling Projects ● Defining problem statements, audiences, and objectives ● Frameworks for scoping data projects ● Translating business questions into analytical tasks ● Context-mapping workshop using a financial services case
Design Fundamentals for Data Visualisation ● Layout, hierarchy, and visual structure ● Colour theory, accessibility, and contrast ● Simplifying complex data without losing meaning ● Hands-on design exercises using a healthcare dataset
Tools, Workflows, and Introduction to AI ● Overview of data visualisation tools and platforms ● Comparing commercial, open-source, and AI-augmented tools ● Understanding where AI fits into modern data workflows ● Introductory AI-assisted insight and charting exercises
AI for Data Analysis and Insight Discovery ● How large language models support analytical thinking ● Using AI to explore datasets and generate hypotheses ● Prompting versus context in analytical workflows ● Practical AI-assisted exploratory analysis exercises
AI for Visual Design and Storytelling ● Using AI to critique and improve data visuals ● AI-supported narrative development ● Risks, limitations, and biases of AI-generated outputs ● Comparing human and AI storytelling approaches
Building Narratives with Data ● Narrative structures and archetypes for data projects ● Creating flow, cadence, and emphasis in stories ● Designing for different stakeholder audiences ● Applying narrative techniques to real datasets
Capstone Project Development ● Individual project work using a coffee shop chain dataset ● Applying visual design, storytelling, and AI techniques ● One-on-one coaching and iterative feedback ● Preparing the final presentation
Capstone Presentations and Reflection ● Individual capstone presentations ● Peer and instructor feedback ● Measuring success in data visualisation projects ● Reflection, key takeaways, and next steps
University of Sydney
Lecturer and Entrepreneur
Felipe Rego is an AI, data science, analytics, and data visualisation specialist who helps organisations turn emerging technologies into practical business capability. His work focuses on applied AI, data strategy, analytics, business intelligence, and data storytelling, supporting organisations as they explore how to use AI responsibly, effectively, and with clear business purpose.
Felipe is also a global educator and speaker, delivering practical and engaging programs on AI literacy, AI for productivity, data visualisation, analytics, and storytelling with data. He works with professionals and leadership teams to build confidence in using AI tools, understanding AI opportunities and risks, and translating complex data and technology concepts into clear decisions and actions.
He is the author of Sketch Your Data, a unique sketchbook designed to help professionals plan and design impactful data visualisations and storytelling ideas. Felipe holds an M.Phil. in Electrical and Information Engineering from the University of Sydney, is a Cloud Engineer, and has served as an advisor to an Australian government department.
Course fee includes the course itself, application fee, study materials, afternoon/evening social activities and events, welcome and goodbye drink as part of the graduation party. Other expenses, such as meals, accommodation, insurance, personal expenses, public transportation ticket, extra activities (such as trips outside of town over the weekend and entrance fees), and required equipment (i.e. pencils, paper for illustrations) are not included in the price.
Please note, after the 30th of April 2026 there will be a late enrollment fee charged in the amount of 100EUR on top of the course fee.
Feel free to contact our coordinator:
Andrea Josífková
Coordinator
+420 777 879 192
info@europeansummerschool.com
Hithem Juaid
The ESS 2019 in Prague was a great opportunity for me to meet and make a lot friends from all over the world. I had a professional workshop, great lectures in morning and an enjoyable activities in evening.
Max Strasser
Really cool experience. Visited two SummerSchools this summer and this one was by far the better one. Beside some really cool courses the two weeks are filled with leisure activities, which ensure that there is no stodgy minute. You get some views of prag, that a normal tourist wouldn't get so fast. Furthermore, you will meet new people from all over the world, which will make it an unforgettable trip for you. 10/10 ??
Linda Farinello
Summer school in Prague was a great experience, I really liked it and I enjoyed it. I recommend it to everyone, especially for the nice people you meet!
Sonia Roopra, UK
I had the pleasure of undertaking the business management course in August 2021. I cannot recommend ESS enough! The activities schedule was structured perfectly, it was a great mix of it being both educational and enjoyable. All the staff are very knowledgeable and highly qualified. I really recommend this great experience to everyone. I feel grateful to have met lifelong friends from all over the world who I still keep in touch with to this day!
