Applying Analytics

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1dimensional
A01=E. S. Levine
academic data interpretation
Age List
Author_E. S. Levine
Bayesian Belief Networks
Categorical Scales
Category=UNC
Climate Data Set
data
Data Set
decision support methods
Discrete Scales
elevation
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Faulty Part
Gantt Chart
height
Height List
HH HH
Inverse DFT
Leaf Diagram
list
Morlet Wavelet
Multi-attribute Utility Function
Multiattribute Utility Functions
Parent Distribution
plot
practical analytics for scientific research
project management analytics
Proxy Attributes
quantitative analysis techniques
scatter
Scatter Plot
set
sets
statistical modeling
structure
Swing Weights
Temperature Data Set
uncertainty quantification
Unstructured Data
Unstructured Data Set
Vice Versa
Wavelet Transform
Weight Data Sets

Product details

  • ISBN 9781466557185
  • Weight: 700g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jun 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.

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