Statoberry

Data Analysis in Agricultural Research using R

Next-Gen Data Analysis with R and AI-Powered RAISINS: 7-Day Training

Unlock advanced agricultural data analytics with R and elevate your research and professional skills.

Dates: December 5–11, 2025 (Online)

Timing: 7:00 PM – 8:30 PM IST daily

For: Researchers, students, and professionals in agriculture and allied science.

Certificate Provided | Live Q&A

Training Schedule

December 5–11, 2025 | 7:00 PM – 8:30 PM IST daily

Day	Topics
Day 1 Getting Started	Getting Started with R and RAISINS Introduction to R: installation, setup, and basic workflow Guided live document for smooth installation and orientation Exploring RAISINS: overview, navigation, and capabilities
Day 2 Foundations	Foundations of Experimental Design and Analysis Principles of design of experiments (DOE) Creating experimental layouts in R and RAISINS Analysis of experimental data and interpretation of results
Day 3 Relationships	Statistical Relationships and Modelling Descriptive statistics and data summarization Correlation and regression analysis (simple and multiple) Introduction to logistic regression and interpretation in research contexts
Day 4 Multivariate	Multivariate Exploratory Techniques Introduction to exploratory data analysis in agriculture and allied fields Principal Component Analysis (PCA): concepts and applications Cluster analysis and factor analysis: grouping and latent variable discovery
Day 5 Relationships	Advanced Designs in Agricultural Research Factorial experiments: concepts, layout, and interpretation Split-plot and strip-plot designs: when and how to use them Practical demonstrations with real datasets
Day 6 Genetics	Statistical Genetics and Advanced Techniques Introduction to statistical genetics Path analysis and stability analysis for genotype evaluation Variance components and heritability estimation
Day 7 Visualization	Data Visualization and No-Code Analytics Best practices in data visualization for agricultural research Generating impactful graphs and plots in R Leveraging RAISINS for no-code data analysis and visualization