Fundamentals of descriptive statistics in Python

This book offers a clear and accessible introduction to descriptive statistics, aimed at high school students and teachers who are looking for an updated didactic proposal. It combines theory, practical exercises and Python programming to effectively analyze and visualize data. Throughout six chapters, the reader will learn how to organize information, build tables and graphs, and calculate key statistical measures, all accompanied by contextualized examples and step-by-step code explanations. No prior programming knowledge is required. By integrating computational tools with theoretical foundations, this book fosters critical thinking, learning autonomy and the development of digital competencies, preparing young people to face the challenges of a data-driven society.

Autorentext

The authors are researchers with scientific backgrounds and experience in statistics, programming and teaching. They are committed to improving the teaching of data analysis in middle and higher education by integrating computational tools such as Python into the classroom.