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portada Fundamentals of descriptive statistics in Python
Type
Physical Book
Publisher
Author
Language
English
Pages
84
Format
Paperback
Dimensions
22.9x15.2x0.5 cm
ISBN13
9786209351495

Fundamentals of descriptive statistics in Python

Hernández Sánchez, Leonardi; Ramos Prieto, Irán; Moya Cessa, Héctor Manuel (Author) · Our Knowledge Publishing · Paperback

Fundamentals of descriptive statistics in Python - Hernández Sánchez, Leonardi; Ramos Prieto, Irán; Moya Cessa, Héctor Manuel

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Synopsis "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.

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The binding of this edition is Paperback.

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