Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
Welcome to Principles of Data Visualisation and storytelling Organizer: Gabriela Montoya Lecturers: Luis-Daniel Ibáñez (Lecturer at University of Southampton, UK) ECTS: 2 Date/Time: 14-15 May 2024 Deadline: 23 April 2024 Max no. Of participants: 25 Description: For most tasks where we collect and/or analyse data, the ability to visualise what we are doing is critical for making sense to yourself and your […]
Welcome to Biophysical Expression, Affect & Movement (BEAM) Organizer: Daniel Overholt Lecturers: Daniel Overholt (US/DK), Elizabeth Jochum (US/DK), Mark-David Hosale (US/CA), Alan Macy (US), Grisha Coleman (US), and Marco Donnarumma (DE/IT). ECTS: 3 Date/Time: 27, 28, 29 May 2024 Deadline: 06 May 2024 Max no. of participants: 20 Enrolment: Sign up through the link Description: Biophysical Expression, Affect & Movement (BEAM) introduces students to cutting edge research trends and technology platforms that monitor […]
Welcome to Big Data Integration Organizer: Matteo Lissandrini, Katja Hose Lecturers: Giovanni Simonini, University of Modena and Reggio Emilia (Italy) ECTS: 2 Date/Time: June 2024 Deadline: 10 May 2024 Max no. Of participants: 20 Description: The course aims at illustrating recent advancements in the field of big data integration from both the practical and methodological perspective. In particular, the focus will be […]
Welcome to Data and Machine Learning Operations (DataOps and MLOps) Description: The course will cover central concepts, methods, techniques, and tools within DataOps and MLOps. Topics include Data Augmentation, Labeling, Cleaning, Pre-processing, Quantifying the Data Quality, Lifecycle, machine learning model deployment, ML pipeline orchestration, monitoring and maintenance (via updating with transfer learning OR retraining) in production, […]