Data Analysis with Open Source Tools
Data Analysis with Open Source Tools

Author: Philipp K. Janert

Publisher: "O'Reilly Media, Inc."

Published: 2010-11-11

Total Pages: 534

ISBN-13: 1449396658

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Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora

Resources for College Libraries
Resources for College Libraries

Author: Marcus Elmore

Publisher: R. R. Bowker

Published: 2006

Total Pages: 0

ISBN-13: 9780835248556

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This seven-volume set offers a core collection of hand-selected titles in 58 curriculum-specific subject areas. Volumes are organized into broad subject areas such as Humanities, Languages and Literature, History, Social Sciences and Professional Studies, Science and Technology, and Interdisciplinary and Area Studies. The seventh volume provides helpful cross-referencing indexes which explain the relationship between RCL subject taxonomy and LC ranges. New to this edition are the inclusion of interdisciplinary subject areas and the selection of electronic resources and web sites essential for undergraduate library collections. Non-book selections will be easily identified by a graphic indicator included in the item record. All selections will be assigned an audience level marker indicating whether the title is most appropriate for lower-division undergraduate, upper-division undergraduate, faculty, or general readership. Records will also include a notation if they previously appeared in BCL3 (Books for College Libraries, 1988) or have been reviewed by Choice.

Software for Data Analysis
Software for Data Analysis

Author: John Chambers

Publisher: Springer Science & Business Media

Published: 2008-06-14

Total Pages: 515

ISBN-13: 0387759360

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John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.

Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications
Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications

Author: Wayne B. Nelson

Publisher: SIAM

Published: 2003-01-01

Total Pages: 157

ISBN-13: 0898715229

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Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. However, many applications involve repeated-events data, where a unit may accumulate numerous events over time. This applied book provides practitioners with basic nonparametric methods for such data.

A Practitioner's Guide to Business Analytics (PB)
A Practitioner's Guide to Business Analytics (PB)

Author: Randy Bartlett

Publisher: McGraw Hill Professional

Published: 2013-01-25

Total Pages: 289

ISBN-13: 0071807608

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Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

The Quality Toolbox
The Quality Toolbox

Author: Nancy Tague

Publisher: Quality Press

Published: 2004-07-14

Total Pages: 625

ISBN-13: 1953079008

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The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as the newer management and planning tools. Tools are included for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, and basic data-handling and statistics. The book is written and organized to be as simple as possible to use so that anyone can find and learn new tools without a teacher. Above all, this is an instruction book. The reader can learn new tools or, for familiar tools, discover new variations or applications. It also is a reference book, organized so that a half-remembered tool can be found and reviewed easily, and the right tool to solve a particular problem or achieve a specific goal can be quickly identified. With this book close at hand, a quality improvement team becomes capable of more efficient and effective work with less assistance from a trained quality consultant. Quality and training professionals also will find it a handy reference and quick way to expand their repertoire of tools, techniques, applications, and tricks. For this second edition, Tague added 34 tools and 18 variations. The "Quality Improvement Stories" chapter has been expanded to include detailed case studies from three Baldrige Award winners. An entirely new chapter, "Mega-Tools: Quality Management Systems," puts the tools into two contexts: the historical evolution of quality improvement and the quality management systems within which the tools are used. This edition liberally uses icons with each tool description to reinforce for the reader what kind of tool it is and where it is used within the improvement process.

Real Estate Analysis in the Information Age
Real Estate Analysis in the Information Age

Author: Kimberly Winson-Geideman

Publisher: Routledge

Published: 2017-11-09

Total Pages: 164

ISBN-13: 1315311127

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The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate.

Data Analysis Using SQL and Excel
Data Analysis Using SQL and Excel

Author: Gordon S. Linoff

Publisher: John Wiley & Sons

Published: 2010-09-16

Total Pages: 698

ISBN-13: 0470952520

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Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

The Strategic Analysis Cycle Hand Book
The Strategic Analysis Cycle Hand Book

Author: Erik Elgersma

Publisher: Lid Publishing

Published: 2017-05-02

Total Pages: 0

ISBN-13: 9781911498360

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This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today's business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company's business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organise your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today's digital and data-driven economy.