Libros de Bases de datos

Este libro sobre la Business Intelligence con Python es una guía completa que sumerge a los lectores en el mundo del análisis de datos empresariales. Si bien enfatiza el aspecto práctico y operativo de BI, se destaca por su enfoque integral, que cubre todo el proceso de BI, desde la recopilacion de brutos hasta la creacion de paneles para la toma de decisiones informada, incluido el analisis y la visualizacion de datos. Es un recurso indispensable para profesionales de datos, analistas y estudiantes que buscan aprender habilidades practicas de BI para dominar el arte de transformar datos en conocimientos estrategicos utilizando Python. El libro comienza con una introduccion a los fundamentos de BI y explica por que Python se ha convertido en una herramienta imprescindible en este campo. Luego guia al lector a traves de la instalacion y configuracion de un entorno de desarrollo robusto, con enfasis en las mejores practicas de codificacion y gestion de proyectos. Los siguientes capitulos analizan en profundidad los aspectos esenciales de BI con Python: - la extraccion y limpieza de datos de diversas fuentes (archivos, bases de datos, API, web scraping); - el analisis estadistico en profundidad, incluidas tecnicas descriptivas e inferenciales;a aa - el diseño e implementacion

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Maybe you know FileMaker, and you have used it for years, but need a quick reference, immediately accessible while not interrupting your work on screen. This is the only book on the market expressly focused on describing each calculation formula and how and when to use each Filled with real-world, concrete examples, this book is an invaluable companion to readers working to develop solutions to their every day software problems. Contains hundreds of calculation functions, script steps, and operations that will appeal to every FileMaker user, new and old.