Excel 2016 Avanzado
Excel 2016 Avanzado

Author: Juan Antonio Gómez Gutiérrez

Publisher: Grupo Editorial RA-MA

Published:

Total Pages: 545

ISBN-13:

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Este libro está dirigido tanto a personas que quieran introducirse en el uso de Microsoft Excel como para expertos que quieran profundizar sobre algún detalle en particular en el uso del producto y quieren estar al día de las principales novedades que aporta la versión de Microsoft Excel 2016. El libro aborda en detalle cada una de las pestañas que por defecto se ofrece en el producto y por esa razón se ha dedicado un capitulo a cada una de las mismas. Asimismo, se han incluido un par de capítulos al principio para que, aquellos que están empezando a descubrir las ventajas de trabajar con Excel, tengan una referencia sobre los elementos de la interfaz más comunes y sobre los conceptos básicos más generales. Se abordan aspectos que van desde la configuración del producto, hasta la creación de macros pasando por la seguridad, el uso de funciones, la creación de mapas 3D, la creación de gráficos e informes y el trabajo en grupo compartiendo libros de trabajo. Dedicamos mucha atención al tema de “Obtener y Transformar Datos” (Power Query) ya que es una herramienta muy útil tanto a nivel profesional como personal. Se incluye también un capitulo con una selección de funciones muy utilizadas para que el lector pueda disponer de un ejemplo que le permita entender fácilmente en su funcionamiento y pueda implementarlas rápidamente. El capítulo de Pestañas de herramientas, muestra muy brevemente, pero de forma efectiva la relación de barras que pueden aparecer en función de los objetos con los que estamos trabajando. No pretenden llegar a un detalle máximo pero si suficiente como para dar una buena idea de lo que contienen cada una de ellas. Por último, se incluye un resumen de las distintas combinaciones de teclas (atajos o shortcuts) que en ocasiones, resultan más cómodas que el uso del mouse. Confiamos en que, desde el principio hasta el final, este libro pueda cubrir las necesidades tanto de los usuarios que pretenden empezar a utilizar Excel, como de aquellos que buscan una explicación detallada y sobre todo, ilustrada, de alguna de las funcionalidades que se ofrecen en el producto.

The Google Generation
The Google Generation

Author: Barrie Gunter

Publisher: Elsevier

Published: 2009-11-11

Total Pages: 221

ISBN-13: 1780631634

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The Google Generation examines original and secondary research evidence from international sources to determine whether there is a younger generation of learners who are adopting different styles of information search behaviour from older generations as a function of their patterns of use of online technologies. The book addresses the questions: might the widespread availability and use of search engines, such as Google, give rise to a different type of scholar who seeks out and utilises online information sources and thereby develops a different orientation to learning from older generations whose information seeking practices became established initially in the offline world. - Provides a one of the most comprehensive analyses yet on the evolving nature of information search behaviour - Combines a review of a wide range of international research evidence combined with original, cutting edge research - Directed towards industry end-users and policy makers as well as academics with shared scholarly interests

bookdown
bookdown

Author: Yihui Xie

Publisher: CRC Press

Published: 2016-12-12

Total Pages: 140

ISBN-13: 1351792601

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bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

Teaching Tech Together
Teaching Tech Together

Author: Greg Wilson

Publisher: CRC Press

Published: 2019-10-08

Total Pages: 229

ISBN-13: 1000728153

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Hundreds of grassroots groups have sprung up around the world to teach programming, web design, robotics, and other skills outside traditional classrooms. These groups exist so that people don't have to learn these things on their own, but ironically, their founders and instructors are often teaching themselves how to teach. There's a better way. This book presents evidence-based practices that will help you create and deliver lessons that work and build a teaching community around them. Topics include the differences between different kinds of learners, diagnosing and correcting misunderstandings, teaching as a performance art, what motivates and demotivates adult learners, how to be a good ally, fostering a healthy community, getting the word out, and building alliances with like-minded groups. The book includes over a hundred exercises that can be done individually or in groups, over 350 references, and a glossary to help you navigate educational jargon.

A Frequency Dictionary of Spanish
A Frequency Dictionary of Spanish

Author: Mark Davies

Publisher: Routledge

Published: 2017-12-12

Total Pages: 1457

ISBN-13: 1134874537

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A Frequency Dictionary of Spanish has been fully revised and updated, including over 500 new entries, making it an invaluable resource for students of Spanish. Based on a new web-based corpus containing more than 2 billion words collected from 21 Spanish-speaking countries, the second edition of A Frequency Dictionary of Spanish provides the most expansive and up-to-date guidelines on Spanish vocabulary. Each entry is accompanied with an illustrative example and full English translation. The Dictionary provides a rich resource for language teaching and curriculum design, while a separate CD version provides the full text in a tab-delimited format ideally suited for use by corpus and computational linguistics. With entries arranged both by frequency and alphabetically, A Frequency Dictionary of Spanish enables students of all levels to get the most out of their study of vocabulary in an engaging and efficient way.

Data Preprocessing in Data Mining
Data Preprocessing in Data Mining

Author: Salvador García

Publisher: Springer

Published: 2014-08-30

Total Pages: 327

ISBN-13: 3319102478

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Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.

Multilabel Classification
Multilabel Classification

Author: Francisco Herrera

Publisher: Springer

Published: 2016-08-09

Total Pages: 200

ISBN-13: 331941111X

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This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.• The preprocessing techniques applicable to multi-label datasets.• The available software tools to work with multi-label data. This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.