Bioinformatics Course
This course equips learners with practical skills for analyzing omics data using R or Python, covering the full workflow from data acquisition to reporting, with emphasis on reproducibility and clinical relevance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Bioinformatics Course provides a practical, end-to-end workflow for analysing omics data using R or Python. You will learn data acquisition, preprocessing, normalisation, batch correction, and quality control, followed by differential expression, enrichment, and pathway analysis. The course also covers study design, ethics, and clear reporting to ensure you can produce robust, clinically meaningful results quickly and reproducibly.
Elevify advantages
Develop skills
- Differential expression workflows: run DESeq2, edgeR, limma in days, not weeks.
- Omics normalisation and batch fixes: apply RNA-seq and microarray corrections fast.
- Pathway and network insight: turn gene lists into GO, KEGG, Reactome stories.
- Clinical omics design: pick cohorts, power studies, and source public datasets.
- Clear bioinformatics reporting: build QC plots, figures, and concise method docs.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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