This is a hands-on training program is designed to introduce biotechnology students to the fundamentals of Python programming and its practical applications in biological data analysis. The course begins with core programming concepts and gradually progresses to data handling, visualization, and real-world dataset analysis. Using tools such as Google Colab, NumPy, Pandas, and Matplotlib, students will gain hands-on experience in writing efficient code and interpreting biological data. By the end of the program, participants will be able to build simple computational workflows and complete a mini-project, preparing them for advanced studies in bioinformatics, data science, and computational biology.
Course Details
Explore the comprehensive course modules
Variables, Operators, Data Input/Output, Loops, Conditions, Iterations
Data Structures, Functions, Working with Real Biological Data
Introduction to FASTA, PDB, MOL2, SMILES etc formats
Seq Alignment, Types of Alignment, BLAST and Standalone tools
Python/Biopython tools for visualizations
Learn from leading experts in stem cell research
Dr Piyush Kumar Yadav