This course introduces essential statistical concepts and data visualization techniques using R and Python. Participants will learn how to analyze biological data, interpret results, and create publication-quality plots.
Topics include hypothesis testing, p-values, ANOVA, and reproducibility. The course emphasizes hands-on practice and includes code templates and real-world datasets.
📘 Modules
Statistical Foundations & p-Values
ANOVA, t-tests & Experimental Design
Data Visualization with R/Python
Reproducible Reporting & Best Practices
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