📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Basics of Gene Expression Analysis, from foundations to a certified capstone project.
Outline
What is Gene Expression? • DNA, RNA, and Protein Relationships • Importance of Gene Expression in Biology • Applications in Healthcare and Biotechnology
Outline
Introduction to RNA and Transcriptomics • Types of Gene Expression Data • Expression Profiles and Biological Variability • Importance of Data Quality in Expression Studies
Outline
Measuring Gene Expression Levels • Introduction to Differential Gene Expression • Understanding Upregulated and Downregulated Genes • Basic Data Interpretation Concepts
Outline
Heatmaps and Expression Plots • Understanding Patterns in Gene Expression Data • Functional Interpretation Basics • Connecting Gene Activity to Disease and Cellular Processes
Outline
AI and Data Science in Transcriptomics • Gene Expression in Precision Medicine • Career Opportunities in Bioinformatics and Genomics • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Basics of Gene Expression Analysis
e-Certificate and e-Marksheet issued on successful completion.
