Data Anaylsis in Water Sciences

4 credits

Covers fundamental topics related to data analysis, including statistical inference testing and error estimation, linear and quantile-based regression models, Monte Carlo simulation, time series analysis, Bayes theorem, and data visualization using modern computer techniques. Applications to water sciences, but techniques are applicable to any area. Offered: A.