Lecture Notes on Fundamentals of Data Analysis

This Jupyter Book contains lecture notes for the Fundamentals of Data Analysis 2025/2026 Course, taught at the University of Catania by Prof. Antonino Furnari.

The notes are informal and meant to be used as teaching material - they may contain errors.

A server to study with multiple-choice question tests in Italian, is available here.

To point out any mistake, you can open an issue.

Lecture 1

• Introduction to the Labs and Work Environment Setup
• Python Crash Course
• Python for Data Science Crash Course

Lecture 2

• Data Analysis Key Concepts, Loading and Inspecting the Data

Lecture 3

• Describing and Visualizing the Data

Lecture 4

• Probability for Data Analysis

Lecture 5

• Association between variables

Lecture 6

• Data Distributions

Lecture 7

• Statistical Inference

Lecture 8

• Storytelling with Data