Introduction to Python Programming for Bioinformatics

Programming has become an essential skill for researchers and students working in life sciences, genomics, and healthcare. This course provides a structured, step-by-step introduction to foundational coding concepts tailored specifically for handling biological data. You will gain a clear understanding of core programming principles and learn how to write clear scripts to analyze sequences, process data files, and manage scientific workflows. What you will learn: Understand key programming terminology, core syntax, and fundamental data types. Work with control structures including conditional statements and loops to automate repetitive analysis. Manipulate text strings to parse, search, and analyze biological sequences such as DNA and RNA. Structure code effectively using custom functions and reusable logic. Store and organize biological datasets using lists, dictionaries, and sets. Apply modern Python data handling techniques and clean coding standards. The course begins with foundational definitions and key concepts before progressing through practical logic and sequence processing techniques. Designed for absolute beginners in biology, life sciences, and bioinformatics with no prior coding experience required. Start building your computational biology skills today.