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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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209351495
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9786209351495
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Taschenbuch. Condition: Neu. Fundamentals of descriptive statistics in Python | Fundamentals of descriptive statistics in Python: theory and practice for high school students | Leonardi Hernández Sánchez (u. a.) | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786209351495 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134380343
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