Statistical Analysis in R

This program is designed for professionals with limited statistical background who need to perform data analysis in their work. It's particularly valuable for researchers, analysts, and decision-makers across fields like epidemiology, ecology, forestry, agriculture, meteorology, and marketing who want to enhance their analytical capabilities.

Some prior experience with statistics is recommended. Basic familiarity with the R programming language is helpful but not required, as the course provides practical implementation guidance throughout.

The program consists of two courses: "Basics of Statistical Inference and Modelling Using R" and "Advanced Statistical Inference and Modelling Using R." The first course covers fundamental concepts while the second builds on these foundations to explore more complex methods. Both courses emphasize practical application and implementation using R.

This program is distinctly practice-oriented, focusing on the application of statistical methods rather than theoretical derivations. It provides comprehensive guidance on implementation using R and emphasizes understanding when and why to use particular methods, along with alternatives when standard approaches aren't suitable.