Statistics and Data Science for Biologists 7.5 credits
About the course
Modern technologies generate large and complex datasets. To extract information, statistical and computational methods are required. Many techniques are freely accessible via R. The course consists of two modules: a theory module and a laboratory module.
Theory module (6 credits)
• Statistical hypotheses and basic experimental design
• Descriptive statistics, point estimation and data summarisation
• Parametric and non‑parametric methods for confidence intervals and hypothesis testing (t‑test, Wilcoxon, Mann–Whitney, ANOVA, Kruskal–Wallis, chi‑square tests, proportion tests, bootstrap)
• Type I and Type II errors, power, p‑values and statistical significance
• Correlation and regression analysis including model evaluation (R²)
Laboratory module (1.5 credits)
• Introduction to R and practical application of theory‑module methods
This course is part of a programme
This course contains occasions that are included in a degree programme at Umeå university and applies only to those of you who are admitted to the programme. You will receive information about application times and what applies to you from your institution.
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