Introduction to scientific Python programming

Dr. Tamás László Storcz
University of Pécs, Hungary

Outline

1. Scientific data and data science, working with Python ecosystem
2. Data collection, preparation and cleaning
3. Data visualization
4. Feature engineering
5. Creating and validating AI models
6. Searching model parameters
7. Practical data management
8. Examples of application

Schedule

Please register to the course through this form.

June 24th, 15.00-17.00 Aula F
June 25th, 15.00-17.00 Aula F
June 26th, 15.00-17.00 Aula F
June 27th, 9.30-11.30 Aula F
June 28th, 15.00-17.00 Aula F (final test)

Exam

The final exam consists in a test, which will be taken on the last day of the course.