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Data Modeling & Design

Most popular at the top

  • Integrating Excel and Accessby Michael Schmalz

    O'Reilly Media 2005; US$ 31.99

    In a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much documentation on their cross-usage. Until now. Introducing Integrating Excel and Access , the... more...

  • R in a Nutshellby Joseph Adler

    O'Reilly Media 2012; US$ 35.99

    If you?re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You?ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates... more...

  • Dataclysmby Christian Rudder

    Crown Publishing Group 2014; US$ 28.00

    A New York Times Bestseller An audacious, irreverent investigation of human behavior?and a first look at a revolution in the making   Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don?t need. In Dataclysm , Christian Rudder uses it to show us who we truly are.   For centuries, we?ve relied on polling... more...

  • Algorithms on Strings, Trees and Sequencesby Dan Gusfield

    Cambridge University Press 1997; US$ 79.00

    This 1997 book describes a range of string problems in computer science and molecular biology and the algorithms developed to solve them. more...

  • RavenDB High Performanceby Brian Ritchie

    Packt Publishing 2013; US$ 23.99

    RavenDB High Performance is comprehensive yet concise tutorial that developers can use to maximize the efficiency and optimization of RavenDB itself.This book is for developers & software architects who are designing systems in order to achieve high performance right from the start. A basic understanding of RavenDB is recommended, but not required.... more...

  • Simulating Innovationby C. Watts; N. Gilbert

    Edward Elgar Publishing 2014; US$ 40.00

    Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. more...

  • Think Statsby Allen B. Downey

    O'Reilly Media 2014; US$ 25.99

    If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book,... more...

  • Materials Modelling using Density Functional Theoryby Feliciano Giustino

    Oxford University Press 2014; US$ 43.99

    This book is an introduction to the quantum theory of materials and first-principles computational materials modelling. It explains how to use density functional theory as a practical tool for calculating the properties of materials without using any empirical parameters. The structural, mechanical, optical, electrical, and magnetic properties of materials... more...

  • Data Fluencyby Zach Gemignani; Chris Gemignani; Richard Galentino; Patrick Schuermann

    Wiley 2014; US$ 40.00

    A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication ... more...

  • Thinking with Databy Max Shron

    O'Reilly Media 2014; US$ 25.99

    Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how , through an often-overlooked set of analytical skills. Thinking with Data... more...