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: September 20–26, 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

September 13–17, 2025 | 2:00 PM – 6:00 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 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 4 Advanced Designs	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 5 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 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

September 2025 - Training Days:

SunMonTue WedThuFriSat 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Meet the Trainers

Dr. Adarsh V S

Assistant Professor, Department of Agricultural Statistics.

Mohammed Hisham M

CTO, STATOBERRY LLP

Arshida A K

Data Scientist, STATOBERRY LLP

Invited Speaker

Dr. Pratheesh P Gopinath

Assistant Professor and Head, Department of Agricultural Statistics, College of Agriculture, Vellayani, Kerala Agricultural University

Ranganath H K

Assistant Professor, Agricultural Statistics, University of Agricultural Sciences (UAS), Bangalore

About Us

Statoberry LLP

Statoberry LLP, founded by a passionate group of statisticians, is redefining the way agricultural research engages with data science. We are a forward-thinking analytics firm with a vision to transform complex datasets into insights that are approachable, meaningful, and true to our name – a little bit sweet. Our journey is deeply rooted in academia and innovation. Statoberry is proudly mentored by the Department of Agricultural Statistics at Kerala Agricultural University (KAU), ensuring a strong foundation in scientific rigor and relevance. We have been incubated under the AgTech Launchpad, a joint initiative of NABARD, KAU, and Western Sydney University, Australia (WSU), which has empowered us to refine our ideas and bring them closer to real-world application. As a recognized startup under the Kerala Startup Mission, we continue to scale our solutions with the guidance, support, and ecosystem provided by the state's premier innovation framework. At Statoberry LLP, we blend statistical expertise with cutting-edge technology to build platforms, APIs, and tools that support agricultural research, precision farming, and farmer–consumer connectivity. Our work reflects a single belief: that data science, when made simple and accessible, has the power to transform agriculture and create lasting impact.

Incubated and mentored by Department of Agricultural Statistics,
College of Agriculture, Vellayani
Kerala Agricultural University

Frequently Asked Questions

Do I need prior experience in R?

No. Day 1 begins with R basics—beginners are welcome.

Will I get training materials?

Yes, all datasets, slides, and scripts will be shared post-session.

Can I attend online?

Yes, the full program is online/virtual.

How do I get my certificate?

Certificates are emailed to all participants after the program ends.

Discover the power of data with hands-on training in R!