- Data pre-processing (formatting files, filtering for data quality and noise reduction)
- General statistical analyses (summary statistics, hypothesis testing, analysis of variance)
- Signal processing and Time-series analysis (filtering and signal extraction, spectral analysis)
- Statistical model testing and development (regression analysis, stepwise regression analysis, multivariate regression)
- Data visualization and mapping
- Pattern recognition in multivariate datasets (principal component analysis, factor analysis, cluster analysis)
- Training your staff in these and other data analysis procedures (See Statistical Training )
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