Visualizaci N De Datos Educativos Y Sociales Con Python Herramientas Para Decisiones Informadas


Visualizaci N De Datos Educativos Y Sociales Con Python Herramientas Para Decisiones Informadas
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Visualizaci N De Datos Educativos Y Sociales Con Python Herramientas Para Decisiones Informadas


Visualizaci N De Datos Educativos Y Sociales Con Python Herramientas Para Decisiones Informadas
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Author : Marcelo Patricio Toalombo Montero
language : es
Publisher: Editorial Investigativa Latinoamericana (SciELa)
Release Date : 2024-02-18

Visualizaci N De Datos Educativos Y Sociales Con Python Herramientas Para Decisiones Informadas written by Marcelo Patricio Toalombo Montero and has been published by Editorial Investigativa Latinoamericana (SciELa) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-18 with Computers categories.


Visualización de Datos Educativos y Sociales con Python: Herramientas para Decisiones Informadas es una obra innovadora que despliega la potencia de Python en el campo de la visualización de datos aplicada a la educación y la sociedad. Escrito con claridad y precisión por expertos en el tema, este libro ofrece una guía completa para aquellos interesados en explorar el vasto mundo de la visualización de datos utilizando Python como herramienta principal. Desde la comprensión de los fundamentos de la visualización de datos hasta la aplicación de técnicas avanzadas, los lectores encontrarán un recurso invaluable para desarrollar habilidades prácticas y tomar decisiones informadas en diversos contextos educativos y sociales. A través de ejemplos prácticos y casos de estudio relevantes, los autores ilustran cómo Python puede ser utilizado para analizar y representar visualmente datos complejos, desde el rendimiento académico hasta los patrones sociales. Este libro es una lectura imprescindible para educadores, investigadores y profesionales que buscan aprovechar el poder de la visualización de datos para mejorar la toma de decisiones y generar un impacto positivo en la educación y la sociedad.



Estad Stica Descriptiva Aplicada En Python Para La Investigaci N Cient Fica En Ciencias Sociales Y Educativas


Estad Stica Descriptiva Aplicada En Python Para La Investigaci N Cient Fica En Ciencias Sociales Y Educativas
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Author : Marcelo Bernave Chancusig López
language : es
Publisher: Editorial Investigativa Latinoamericana
Release Date : 2024-06-23

Estad Stica Descriptiva Aplicada En Python Para La Investigaci N Cient Fica En Ciencias Sociales Y Educativas written by Marcelo Bernave Chancusig López and has been published by Editorial Investigativa Latinoamericana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-23 with Mathematics categories.


En la era de la información, el conocimiento es poder. Pero este poder no radica únicamente en la acumulación de datos, sino en la capacidad de analizarlos, interpretarlos y convertirlos en decisiones informadas. Este libro, "Estadística Descriptiva Aplicada en Python para las Ciencias Sociales y Educativas", se concibe como una herramienta fundamental para estudiantes, investigadores y profesionales de las ciencias sociales y educativas que desean adquirir o reforzar habilidades en el análisis estadístico utilizando Python, uno de los lenguajes de programación más populares y poderosos en el campo del análisis de datos. El propósito de este texto es doble. En primer lugar, aspiramos a proporcionar una comprensión sólida de los principios y métodos de la estadística descriptiva, que son la base para cualquier tipo de análisis estadístico. En segundo lugar, buscamos enseñar cómo aplicar estos conceptos utilizando Python, haciendo que los procesos de análisis sean más eficientes y reproducibles. Abordamos este desafío presentando ejemplos relevantes y actuales que resuenan con problemas y situaciones típicas en las ciencias sociales y la educación. Nos enfocaremos en las medidas de tendencia central y dispersión, la construcción de tablas de frecuencias, y la interpretación de los resultados estadísticos a través de la visualización de datos. Asimismo, discutiremos cómo la correlación y la covarianza pueden revelar relaciones interesantes entre variables sociales y educativas.



The Future Of Knowledge


The Future Of Knowledge
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Author : Verna Allee
language : en
Publisher: Routledge
Release Date : 2003

The Future Of Knowledge written by Verna Allee and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business categories.


Verna Allee presents her vision of the future of knowledge in organizations and contends that in order to succeed in the new century, businesses need to think beyond knowledge management and move to re-thinking the nature, structure, and identity of organizations themselves. As a society we are massively reorganizing and re-skilling to thrive in a complex interdependent world, and the business world needs to be part of this change. This is a guide for businesses to managing greater and greater levels of complexity within their organizations and in society at large.



University And School Collaborations During A Pandemic


University And School Collaborations During A Pandemic
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Author : Fernando M. Reimers
language : en
Publisher: Springer Nature
Release Date : 2022

University And School Collaborations During A Pandemic written by Fernando M. Reimers and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with COVID-19 Pandemic, 2020- categories.


Based on twenty case studies of universities worldwide, and on a survey administered to leaders in 101 universities, this open access book shows that, amidst the significant challenges caused by the COVID-19 pandemic, universities found ways to engage with schools to support them in sustaining educational opportunity. In doing so, they generated considerable innovation, which reinforced the integration of the research and outreach functions of the university. The evidence suggests that universities are indeed open systems, in interaction with their environment, able to discover changes that can influence them and to change in response to those changes. They are also able, in the success of their efforts to mitigate the educational impact of the pandemic, to create better futures, as the result of the innovations they can generate. This challenges the view of universities as "ivory towers" being isolated from the surrounding environment and detached from local problems. As they reached out to schools, universities not only generated clear and valuable innovations to sustain educational opportunity and to improve it, this process also contributed to transform internal university processes in ways that enhanced their own ability to deliver on the third mission of outreach



Open A Glam Lab


Open A Glam Lab
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Author : Mahendra Mahey
language : en
Publisher:
Release Date : 2020-11-30

Open A Glam Lab written by Mahendra Mahey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Digital humanities categories.


A Galleries, Libraries, Archives and Museums (GLAM) Lab is a place for experimenting with digital collections and data. This book describes how to open a GLAM Lab and encourages a movement that can transform organisations and communities.



Data Analysis


Data Analysis
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Author : Charles M. Judd
language : en
Publisher: Routledge
Release Date : 2011-03-15

Data Analysis written by Charles M. Judd and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-15 with Education categories.


This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions It reduces the number of statistical techniques that must be memorized It teaches readers how to become data analysts instead of statisticians. The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed.



Data Mining


Data Mining
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Author : Richard J. Roiger
language : en
Publisher: CRC Press
Release Date : 2017-01-06

Data Mining written by Richard J. Roiger and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-06 with Business & Economics categories.


Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface Teaches the reader (student,) hands-on, about data mining using RapidMiner Studio and Weka Gives instructors a wealth of helpful resources, including all RapidMiner processes used for the tutorials and for solving the end of chapter exercises. Instructors will be able to get off the starting block with minimal effort Extra resources include screenshot sequences for all RapidMiner and Weka tutorials and demonstrations, available for students and instructors alike The latest version of all freely available materials can also be downloaded at: http://krypton.mnsu.edu/~sa7379bt/



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Usama M. Fayyad
language : en
Publisher:
Release Date : 1996

Advances In Knowledge Discovery And Data Mining written by Usama M. Fayyad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.


Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.



Smart Education And E Learning 2016


Smart Education And E Learning 2016
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Author : Vladimir L. Uskov
language : en
Publisher: Springer
Release Date : 2016-06-13

Smart Education And E Learning 2016 written by Vladimir L. Uskov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-13 with Technology & Engineering categories.


This book contains the contributions presented at the 3rd international KES conference on Smart Education and Smart e-Learning, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016. It contains a total of 56 peer-reviewed book chapters that are grouped into several parts: Part 1 - Smart University: Conceptual Modeling, Part 2 – Smart Education: Research and Case Studies, Part 3 – Smart e-Learning, Part 4 – Smart Education: Software and Hardware Systems, and Part 5 – Smart Technology as a Resource to Improve Education and Professional Training. We believe that the book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators, and practitioners - those who are interested in innovative areas of smart education and smart e-learning.



Marketing Research


Marketing Research
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Author : Joseph F. Hair
language : en
Publisher: Irwin/McGraw-Hill
Release Date : 2003

Marketing Research written by Joseph F. Hair and has been published by Irwin/McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.