Genomic Data Science: An Introduction to Bioinformatics and Python

As the volume of biological data grows exponentially, the ability to analyze genetic sequences has become a vital skill in modern science. This course bridges the gap between biology, computer science, and data analysis to give you a clear entry point into genomic data science. You will transition from having zero experience in bioinformatics to confidently reading, processing, and understanding genomic datasets. By learning how to leverage Python for biological data, you will build a solid foundation for modern bioinformatics research and data management. What you'll learn: Understand the core biological concepts of DNA, RNA, and proteins alongside essential statistical methods; Write Python scripts to parse, manipulate, and analyze genomic sequence files; Apply modern Python data libraries to manage and clean large-scale biological datasets; Implement type hints and clean coding practices to ensure your bioinformatics scripts are reproducible; Configure virtual environments to manage dependencies for scientific computing; Explore the fundamental algorithms used in sequence alignment and database searching. The course starts with foundational definitions of genetics, computer science, and statistics before guiding you through clear Python code explanations. You will progress from basic sequence manipulation to analyzing real-world genomic data formats. Designed entirely for beginners, this text-only course requires no prior background in programming or advanced biology. Begin your journey into the rapidly growing field of bioinformatics today.