Statistical Analysis
Data Management
Geographic Information Systems (GIS)
Professional Training/Tutoring
Statistical Analysis
Gain insight from a wide range of data analysis and visualization techniques, including:
- Regression methods: ordinary least squares (OLS), generalized linear and additive modeling (GLM, GAM), spatial regression, random- and mixed-effects models
- Clustering and classification algorithms: K-means, linear discriminant analysis (LDA), random forest, association rules mining, K-nearest neighbor (KNN), etc.
- Model and variable selection: information-theoretic approach, stepwise selection, internal and external cross-validation
- Multivariate analysis: unconstrained (PCA, CA, NMDS) and constrained ordination (RDA, CCA)
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Data Management
Have your data processed from start to finish, or at any point in-between:
- Data entry, proofing, and error checking
- Relational database design and implementation
- Custom forms and reports
- Data wrangling/reshaping, summarizing, and feature engineering
Geographic Information Systems (GIS)
Leverage the power of your spatial data with a full range of services:
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Example of a simple embedded online map created using the mapview R package.
Professional Training/Tutoring
Learn a new computer application or technology:
- Program R/RStudio for data analysis and visualization
- GIS (ArcGIS, QGIS, Google Earth Engine/Explorer)
- Relational Database (Microsoft Access, PostgreSQL)
- Microsoft Excel
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- New student discount may apply! Please ask for details using the Contact Form before scheduling a lesson
- Online tutoring offered through Wyzant’s Online Tool or the platform of your choice (Google Hangout, Skype, etc.)