To download a jupyter notebook, right-click on the link, and select 'Save link as'

• Jupyter notebooks will be used as 'slides'

Module 1

Class 1:

• Slides
• Jupyter notebooks:
  • Console I/O and Variables
• Assignments
• Results of the Kahoot

Class 2:

• Jupyter notebooks:

  • Data types and operations
  • Assignments: live examples
  • Assignments

• Results of the Kahoot

Class 3:

• Jupyter notebooks:
  • Collections and first taste of plots
  • Assignments
• Results of the Kahoot

Class 4:

• Jupyter notebooks:
  • Control and repetition statements (if, loops), and CSV manipulation/visualization applied on COVID-19 data
  • Assignments
• Results of the Kahoot

Class 5:

• Jupyter notebooks:
  • Functions
  • Creation of word clouds for online news
  • Assignments
  • Cool Assignment :sunglasses: : Reviews of The CaPythonE Restaurant
    • We suggest you to do the first 2 or 3 assignments from the first set, then focus on this with our live help, then complete the others at home
• Results of the Kahoot

Class 6:

• Jupyter notebooks:
  • Modules, Exceptions, and Object-oriented Programming and applications to betting markets
    • Files imported by the main jupyter notebook to be put in the same folder of the main file.
      • Imported Python file
      • Imported Jupyter notebook
    • Files imported by the main jupyter notebook to be put in a folder named otherpath placed in the same folder of the main file.
      • Imported Python file
      • Imported Jupyter notebook
  • Assignments
• Results of the Kahoot

Class 7:

• Jupyter notebooks:
  • Course closing
  • Advanced Libraries for data manipulation/visualization. NumPy & Pandas
• Results of the Kahoot

Further material

Images, CSV files and other files necessary in some of the notebooks

• images
• csv files

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Module 2 PDAI-PM

Class 1: Introduction to Process-oriented Data Science and Process mining

• Notebook
• Slides on Disco tutorial (pptx)
  • Compact version with only tool-related instructions
• Necessary CSV files
  • Burgers
  • Purchases

Classes 2-3: Advanced libraries for data manipulation and visualization

• Notebook

Classes 4-5: The Python library for Process Mining: PM4Py. PM and Data: case studies, benchmarks, etc

• Notebook PM4Py
• Notebook PM and Data: case studies, benchmarks, event data vs non event data

Class 6: Mining Petri nets with the Alpha miner

• Notebook

Class 7: Mining Dependency graphs with the Heuristic miner

• Notebook

Class 8: Conformance checking: how good is my model? How good is the log?

• Notebook

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More Materials

• The pythonic way of coding
• Necessary file if running the assignments locally on jupyterlab
  • Further files necessary for specific assignments
    • Asgn 5: manzoni, stopwords