Fabio Mardero is a data scientist from Italy. He graduated in physics and statistical and actuarial sciences. He is currently working at a well-known Italian insurance company as a data scientist and Non-Life technical provisions evaluator.
Course Overview & Lectures
Duration: 14+ hours
Italian COVID dataset (official data): https://github.com/pcm-dpc/COVID-19
Insurance dataset: https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction
1. Introduction to Python
Programming language features, VS Code, Jupyter Notebook/Lab (Colab), virtual environments, variables, data types, lists and dictionaries.
Lecture 1: General Overview
Lecture 2: Setup Python Project
Lecture 3: Venv (Virtual Environment)
Lecture 4: Git
Lecture 5: Python Tools and IDEs
Lecture 6: Data Types
2. If/else and Loops
If/else, loops, iterators and generators, error handling.
Lecture 7: Loops & If Else
3. Functions and Classes
Functions, decorators, classes, inheritance, decorators inside classes.
Lecture 8: Class Function
4. Pandas and Numpy
Arrays and Matrices, reading files, DataFrame, Series, pivot tables, group by, pipelines, datetime objects.
Lecture 9: Pandas Part 1
Lecture 10: Pandas Part 2
5. Static Plotting
Static plots using matplotlib and seaborn libraries.
Lecture 11: Static Plotting
6. Dynamic Plotting
Animations, dynamic plots using altair library
Lecture 12: Dynamic Plotting
7. Unit Testing and Logging
File arrangement to build a Python library, assertions, Test Case (unittest library), logging (logging library)
Lecture 13: Unit Testing
Lecture 14: Logging
8. Computer Vision
Lecture 15: Computer Vision