Advanced Python for Biologists (APYB01)

Take your Python skills to the next level and learn how to build efficient, scalable code for real biological data analysis.

This course is designed for researchers with basic Python experience who want to write more sophisticated programs, work with larger datasets, and develop robust bioinformatics workflows.

What you’ll learn

Advanced Python language features (recursion, complex data structures, comprehensions, exception handling)

Object-oriented and functional programming for biological problems

Code optimisation, benchmarking, and profiling

Unit testing and software development best practices

Writing efficient, maintainable code for genomics, ecology, and sequence analysis datasets

Hands-on exercises use real biological datasets, with time to discuss your own research problems.

Course details

Duration: 4 days (7 hours/day)

Format: Live online, sessions recorded

Next run: 23–26 March 2026

Fee: £480

Suitable for biologists, ecologists, and bioinformaticians who already know basic Python and want to tackle more complex research workflows.

Why take PR Stats courses?

PR Stats courses are designed by researchers for researchers, combining statistical rigour with practical coding and real datasets relevant to ecology, genomics, and life sciences.