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As the analysis of big datasets in sports performance becomes a
more entrenched part of the sporting landscape, so the value of
sport scientists and analysts with formal training in data
analytics grows. Sports Analytics: Analysis, Visualisation and
Decision Making in Sports Performance provides the most
authoritative and comprehensive guide to the use of analytics in
sport and its application in sports performance, coaching, talent
identification and sports medicine available. Employing an
approach-based structure and integrating problem-based learning
throughout the text, the book clearly defines the difference
between analytics and analysis and goes on to explain and
illustrate methods including: Interactive visualisation Simulation
and modelling Geospatial data analysis Spatiotemporal analysis
Machine learning Genomic data analysis Social network analysis
Offering a mixed-methods case study chapter, no other book offers
the same level of scientific grounding or practical application in
sports data analytics. Sports Analytics is essential reading for
all students of sports analytics, and useful supplementary reading
for students and professionals in talent identification and
development, sports performance analysis, sports medicine and
applied computer science.
As the analysis of big datasets in sports performance becomes a
more entrenched part of the sporting landscape, so the value of
sport scientists and analysts with formal training in data
analytics grows. Sports Analytics: Analysis, Visualisation and
Decision Making in Sports Performance provides the most
authoritative and comprehensive guide to the use of analytics in
sport and its application in sports performance, coaching, talent
identification and sports medicine available. Employing an
approach-based structure and integrating problem-based learning
throughout the text, the book clearly defines the difference
between analytics and analysis and goes on to explain and
illustrate methods including: Interactive visualisation Simulation
and modelling Geospatial data analysis Spatiotemporal analysis
Machine learning Genomic data analysis Social network analysis
Offering a mixed-methods case study chapter, no other book offers
the same level of scientific grounding or practical application in
sports data analytics. Sports Analytics is essential reading for
all students of sports analytics, and useful supplementary reading
for students and professionals in talent identification and
development, sports performance analysis, sports medicine and
applied computer science.
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