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Descriptive statistics, Predictive modelling, Segmentation analysis & other analytical techniques
Descriptive statistics - basic overview of data
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Averages, frequency counts, cross-tabulations
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Finding relationships within data
Predictive modelling / Key driver analysis - predicting outcomes
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Traditional regression modelling
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Machine learning models
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Rule induction models
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Time series and forecasting
Segmentation analysis - finding groupings within data
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Factor analysis
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Cluster analysis
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Decision trees
Other analytical techniques
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Scale and rater reliability
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Association rules
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Bayesian statistics
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