Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Fundamentals of descriptive statistics in Python
Details
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786209351495
- Genre Maths
- Sprache Englisch
- Anzahl Seiten 84
- Herausgeber Our Knowledge Publishing
- Größe H220mm x B150mm x T6mm
- Jahr 2025
- EAN 9786209351495
- Format Kartonierter Einband
- ISBN 6209351492
- Veröffentlichung 15.12.2025
- Titel Fundamentals of descriptive statistics in Python
- Autor Leonardi Hernández Sánchez , Irán Ramos Prieto , Héctor Manuel Moya Cessa
- Untertitel Fundamentals of descriptive statistics in Python: theory and practice for high school students
- Gewicht 143g