[WORKSHOP 1]
Workshop 1: Data Visualization Sketches with AI: Leveraging Python's Pandas and Matplotlib - by Enrico Glerean
Tickets↵
Duration:
Half-day workshop (4 hours) 09-13 on 05.06.2025
Half-day workshop (4 hours) 09-13 on 05.06.2025
Target Audience:
Data analysts, data scientists, and professionals interested in enhancing their data visualization skills with AI integration.
Data analysts, data scientists, and professionals interested in enhancing their data visualization skills with AI integration.
Prerequisites:
Basic knowledge of Python programming is recommended. Or go through some fundamentals of Python in this link: ().
Basic knowledge of Python programming is recommended. Or go through some fundamentals of Python in this link: ().
This workshop introduces participants to the fundamentals of data visualization using Python's Pandas and Matplotlib libraries, with a focus on integrating AI techniques to enhance data insights. Attendees will learn how to manipulate and visualize data effectively, enabling them to create compelling visual narratives that facilitate data-driven decision-making.
Key topics:
Introduction to Data Visualization: Understanding the importance of visualizing data to uncover patterns, trends, and insights. Pandas for Data Manipulation: Utilizing Pandas for data cleaning, transformation, and preparation. Matplotlib for Visualization: Creating static, animated, and interactive plots to represent data effectively. Integrating AI Techniques: Applying basic AI methods to enhance data analysis and visualization. Practical Applications: Hands-on exercises to reinforce learning and develop practical skills.
By the end of this workshop, participants will be able to:
Manipulate and prepare data using Pandas. Create a variety of visualizations with Matplotlib. Apply AI techniques to extract deeper insights from data. Develop and present data visualizations with help of AI for programming.
[WORKSHOP 2]
Workshop 2: Introduction to Data Sonification with SuperCollider - by Andrea Valle
Tickets↵
Duration:
Full-day workshop (5 hours) | 09:00–12:00 13:00-15:00 on 05.06.2025
Full-day workshop (5 hours) | 09:00–12:00 13:00-15:00 on 05.06.2025
Target Audience:
Researchers, designers, artists, musicians, data analysts, and anyone interested in exploring sound as a medium for data representation.
Researchers, designers, artists, musicians, data analysts, and anyone interested in exploring sound as a medium for data representation.
Prerequisites:
No prior experience with SuperCollider is required. Basic programming knowledge is helpful but not necessary.
No prior experience with SuperCollider is required. Basic programming knowledge is helpful but not necessary.
This workshop introduces participants the process of transforming data into sound using SuperCollider, a powerful open-source environment for real-time audio synthesis. Participants will learn how to map data to sound parameters, create auditory representations of datasets, and explore algorithmic composition techniques to convey information through sound.
Key topics:
Introduction to Data Sonification: Understanding how data can be represented through sound and its applications in science, art, and design. SuperCollider Basics: Overview of the SuperCollider environment, syntax, and essential tools for working with sound. Mapping Data to Sound Parameters: Techniques for converting numerical data into pitch, rhythm, timbre, and spatialization. Algorithmic Sonification: Using SuperCollider’s pattern system to generate evolving, data-driven soundscapes. Hands-On Sonification Exercises: Practical examples using real-world datasets to reinforce concepts.
By the end of this workshop, participants will be able to:
Understand the principles and applications of data sonification. Use SuperCollider to generate and manipulate sound. Map datasets to sound parameters to create meaningful auditory representations. Experiment with algorithmic approaches to sonification.
[WORKSHOP 3]