Data Science for Biologists

This subject provides an overview of data science concepts and techniques as they pertain to the field of biology. Students will learn how to apply data science methods to real-world biological data, including techniques for data collection, curation, analysis, and visualization. The subject will provide practical skills in programming languages commonly used for data science, such as R or Python, and best practices for reproducible research, including documentation and data sharing. It will also provide with the students a practical experience of high-performance computing (HPC) and cloud computing. By the end of the subject, students will have developed a robust foundation across this set of skills, empowering them to work confidently with the kind of large-scale dataset that is becoming increasingly common across all fields of biology.