Read Practical Data Analysis: Case Studies In Business Statistics Books PDF

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Peter G. Bryant, Marlene A. Smith


Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Peter G. Bryant, Marlene A. Smith


Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Umesh R Hodeghatta, Umesha Nayak

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Umesh R Hodeghatta, Umesha Nayak

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.

This book will discuss and explore the following through examples and case studies:

  • An introduction to R: data management and R functions
  • The architecture, framework, and life cycle of a business analytics project
  • Descriptive analytics using R: descriptive statistics and data cleaning
  • Data mining: classification, association rules, and clustering
    Predictive analytics: simple regression, multiple regression, and logistic regression

This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book.

What You Will Learn

• Write R programs to handle data

• Build analytical models and draw useful inferences from them

• Discover the basic concepts of data mining and machine learning

• Carry out predictive modeling

• Define a business issue as an analytical problem

Who This Book Is For

Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Robert Nisbet, Gary Miner, Ken Yale

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Robert Nisbet, Gary Miner, Ken Yale

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.

This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce.

  • Includes input by practitioners for practitioners
  • Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
  • Contains practical advice from successful real-world implementations
  • Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions
  • Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Dianne Cook, Deborah F. Swayne

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Dianne Cook, Deborah F. Swayne This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: • An introduction to data visualization, explaining how it di?ers from other types of visualization. • Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. • An approach for exploring missing values in data. • An explanation of the use of these tools in cluster analysis and supervised classi?cation. • An overview of additional material available on the web. • A description of the data used in the analyses and exercises. The book’s examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Gary Miner, John Elder, IV, Thomas Hill

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Gary Miner, John Elder, IV, Thomas Hill

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.

  • Extensive case studies, most in a tutorial format, allow the reader to ‘click through’ the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible
  • Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com
  • Glossary of text mining terms provided in the appendix

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Mark A. Kramer, Uri T. Eden

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Mark A. Kramer, Uri T. Eden

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.

As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis.

The book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. (Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type.) The book goes on to cover neural field data and spike train data, spectral analysis, generalized linear models, coherence, and cross-frequency coupling. Each chapter offers a stand-alone case study that can be used separately as part of a targeted investigation. The book includes some mathematical discussion but does not focus on mathematical or statistical theory, emphasizing the practical instead. References are included for readers who want to explore the theoretical more deeply. The data and accompanying MATLAB code are freely available on the authors’ website. The book can be used for upper-level undergraduate or graduate courses or as a professional reference.

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Luis Torgo

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Luis Torgo

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R.

The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.

The book is accompanied by a set of freely available R source files that can be obtained at the book’s web site. These files include all the code used in the case studies, and they facilitate the “do-it-yourself” approach followed in the book.

Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the “world” of R and data mining.

About the Author

Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Andrew F. Siegel

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Andrew F. Siegel Practical Business Statistics, 5/e was written in response to instructors not wanting a formula driven, mathematically encyclopedic book. The use of computer applications means some topics no longer require coverage in detail. This allows future managers to know how to use and understand statistics. The text does this by using examples with real data that relate to the functional areas of business such as finance, accounting, and marketing. It de-emphasizes the theoretical, and presents the material in a well-written, easy style designed to motivate students. The emphasis is on understanding and applications as opposed to mathematical precision and formula detail.

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Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Allen B. Downey

Read Practical Data Analysis: Case Studies In Business Statistics Books PDF by Allen B. Downey

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, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.

New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.

  • Develop an understanding of probability and statistics by writing and testing code
  • Run experiments to test statistical behavior, such as generating samples from several distributions
  • Use simulations to understand concepts that are hard to grasp mathematically
  • Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools
  • Use statistical inference to answer questions about real-world data

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Practical Data Analysis
Language: en
Pages:

Practical Data Analysis

Authors: Peter G. Bryant, Marlene A. Smith
Categories: Commercial statistics
Type: BOOK - Published: - Publisher:
Books about Practical Data Analysis
Case Studies in Neural Data Analysis
Language: en
Pages: 384

Case Studies in Neural Data Analysis

Authors: Mark A. Kramer, Uri T. Eden
Categories: Medical
Type: BOOK - Published: 2016-11-04 - Publisher: MIT Press
A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.
Practical Business Statistics
Language: en
Pages: 642

Practical Business Statistics

Authors: Andrew Siegel
Categories: Mathematics
Type: BOOK - Published: 2016-07-29 - Publisher: Academic Press
Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This
Handbook of Statistical Analysis and Data Mining Applications
Language: en
Pages: 822

Handbook of Statistical Analysis and Data Mining Applications

Authors: Robert Nisbet, Gary Miner, Ken Yale
Categories: Mathematics
Type: BOOK - Published: 2017-11-09 - Publisher: Elsevier
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths
Business Analytics Using R - A Practical Approach
Language: en
Pages: 280

Business Analytics Using R - A Practical Approach

Authors: Umesh R Hodeghatta, Umesha Nayak
Categories: Computers
Type: BOOK - Published: 2016-12-27 - Publisher: Apress
Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a