We offer a short course for using R for your statistical analysis as an absolute Beginners:

By the end of this course, you will be able to:

– Have a first feeling for how to use R and RStudio effectively for data handling and analysis

– Import, clean, and export various data formats

– Perform statistical analyses including correlation, regression, and ANOVA

– Create your first professional data visualizations

– Analyze two of the most commonly used agricultural experimental designs (CRD & RCBD)

Date: 25 June to 30 July 2025, flexible self-paced e-learning format

🔍 Requirements: No prior knowledge of R is needed, but a basic understanding of statistics will be an advantage.

🎓 Conditions: The course is free of charge and consists of 12 hours of lectures and approximately 18 hours of self-practice. It is equivalent to 1 credit (~ 30 hours). A certificate will be provided upon successful completion of at least 80% of the course. This course is taught by Dr. Paul Schmidt (https://schmidtpaul.github.io/) 

📌 Register link before 24 June 2025.

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