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Lecturer: Gianfranco Lombardo, Ph.D.

Credits: 2 ECTS - 12 hours (Note: no credits for Information Technology doctoral students, since they should have higher-level expertise in the topic)

Period: March-April 2022

The course is delivered in class and via streaming, in English.

 

This course aims to present the main aspects of the Python language and ecosystem, to develop data science tasks. The student will acquire the ability to start developing heterogeneous data processing and analysis projects in Python.

To participate, please fill the form at the following link no later than 28 February:

https://docs.google.com/forms/d/e/1FAIpQLSfep1y5MnT5q6e2lbzNrkirDUO5a2JCI8QgOhoQ2YcE0qOmZA/viewform?usp=pp_url

 


Syllabus
- Elements of Data Science (2h)
- Python fundamentals (2h)
- Object-Oriented Programming with Python (2h)
- Practical lab on Python’s fundamentals (2h)
- Numpy-Pandas-Matplotlib (2h)
- Practical lab on Data science (2h)


Course scheduling

Friday, 4/03/2022 14:30-16:30 Elements of Data Science
Friday, 11/03/2022 14:30-16:30 Python fundamentals
Friday, 18/03/2022 14:30-16:30 Object-Oriented Programming with Python
Friday, 25/03/2022 14:30-16:30 Practical lab on Python’s fundamentals
Friday, 1/04/2022 14:30-16:30 Numpy-Pandas-Matplotlib
Friday, 8/04/2022 14:30-16:30 Practical lab on Data science

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