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10+ years teaching statistics at university level with a focus on practical applications.
50+ peer-reviewed publications in top statistical journals.
Research focus areas:
Comprehensive statistical support for:
Master linear and nonlinear regression techniques for real-world data analysis.
Learn the fundamentals of R for statistical computing and graphics.
Advanced techniques for Bayesian modeling and inference.
Master forecasting and analysis of temporal data patterns.
Learn to create effective statistical visualizations.
Techniques for analyzing complex datasets with multiple variables.