📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of R and Python for Bioinformatics, from foundations to a certified capstone project.
Outline
What is Bioinformatics? • Role of R and Python in Biological Data Analysis • Types of Biological Data • Applications in Genomics and Biotechnology
Outline
Introduction to R and Python • Variables, Data Types, and Simple Commands • Working with Tables and Datasets • Basic Data Handling Concepts
Outline
Understanding DNA, RNA, and Protein Data • Introduction to Sequence Data • Basic Data Cleaning and Preparation • Simple Bioinformatics Analysis Examples
Outline
Visualizing Biological Data • Understanding Patterns in Biological Datasets • Presenting Bioinformatics Results Clearly • Interpreting Outputs in Research Context
Outline
R and Python in Genomics and Transcriptomics • Bioinformatics in Drug Discovery and Healthcare • Career Opportunities in Bioinformatics and Data Science • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in R and Python for Bioinformatics
e-Certificate and e-Marksheet issued on successful completion.
