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Applying Analytics: A Practical Introduction

Applying Analytics: A Practical Introduction


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About the Book

Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying Analytics: A Practical Introduction systematically teaches novices how to apply algorithms to real data and how to recognize potential pitfalls. It offers one of the first textbooks for the emerging first course in analytics. The text concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encountered by analysts in their daily work. The author shares various lessons learned from applying analytics in the real world. He supplements the technical material with coverage of professional skills traditionally learned through experience, such as project management, analytic communication, and using analysis to inform decisions. Example data sets used in the text are available for download online so that readers can test their own analytic routines. Suitable for beginning analysts in the sciences, business, engineering, and government, this book provides an accessible, example-driven introduction to the emerging field of analytics. It shows how to interpret data and identify trends across a range of fields.

Table of Contents:
Introduction. Elements. Lists. Uncertainty and Error. 1-Dimensional Data Sets. Related Lists and 1-Dimensional Data Sets. 2-Dimensional Data Sets. Unstructured Data Sets. Prescriptive Decision Analysis. Project Management. Communicating Analytic Findings. What to Do Next. Bibliography. Index.

About the Author :
Dr. Evan S. Levine is an analytics professional specializing in homeland security and counterterrorism. His work has been published in Science, Risk Analysis, Analytics magazine, and several other peer-reviewed journals. He is a member of the American Association for the Advancement of Science (AAAS), the Institute For Operations Research and Management Science (INFORMS), and the Society for Risk Analysis (SRA). He earned a Ph.D. in astrophysics from the University of California, Berkeley, and a Master of Advanced Study (MASt) in mathematics from Cambridge University.

Review :
"... provides many useful tricks and techniques for analyzing and describing data ... this book has much to offer on the basics of data analysis. ... those approaching analytics from another discipline (e.g., applied mathematics, computer science, or operations research) will benefit from the down-to-earth discussion of many nitty-gritty aspects of data analysis." -Interfaces, Vol. 44, No. 6, November-December 2014 "The book is well written and accessible. The analytics experience of the author shines through in his discussion and in valuable advice ... The examples are chosen to demonstrate the technique being introduced and do so well. ... the book is an easy-to-read introduction to analytics, and is especially suited for those focusing on datasets limited to fewer variables." -The American Statistician, May 2014


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Product Details
  • ISBN-13: 9781466557185
  • Publisher: Taylor & Francis Inc
  • Publisher Imprint: CRC Press Inc
  • Height: 234 mm
  • No of Pages: 290
  • Weight: 634 gr
  • ISBN-10: 1466557184
  • Publisher Date: 21 Jun 2013
  • Binding: Hardback
  • Language: English
  • Sub Title: A Practical Introduction
  • Width: 156 mm


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