Teacher: Adriano Mancini

Content: The course is structured to guide learners through
Python programming from fundamental concepts
to advanced data science techniques. It starts with
an introduction to Python to understand the core
principles of programming including data
structures. The latter part of the course introduces
powerful libraries for data science: NumPy, SciPy,
and scikit-learn.

Main Topics:

• Introduction to python
• Varible, control structure, Iteration, function
• Data structure: list, set, dictionary, tuple
• Jupyther notebook
• Python for data science
• Foundations of Numpy
• Foundations of Scipy
• Foundations of Scikit-learn