The DSA 2025 Summer School was designed for graduate students, researchers, and professionals working with large-scale or unique datasets. This intensive program, featured both introductory and advanced lectures in data science and machine learning, as well as hands-on practical sessions. Participants gained valuable experience in data wrangling, data munging, and applying cutting-edge machine learning techniques to derive insights from data.
Participant Requirements
To ensure full engagement in the sessions, participants were required to have basic proficiency in:
- Python programming
- Data Science fundamentals
- Machine Learning principles
Registration Process
- Participants downloaded and ran the test notebook, which contained Python programming questions and hidden test cases.
- After completing the coding tasks in the notebook, participants downloaded the submission ZIP file.
- The final step involved filling out the summer school registration form and submitting the ZIP identification number.
The event was a great success, with participants enhancing their skills and collaborating with top experts in AI and data science.
For more information about future events or inquiries, please contact the organizers at