Course Overview: Welcome to the frontline of medical research. This course is meticulously designed to introduce beginners to Cancer Bioinformatics, a field that is transforming how we diagnose and treat cancer. Whether you are a biologist seeking to understand genomic data or a data enthusiast wanting to make an impact in healthcare, this course provides the essential roadmap to understanding the "Big Data" of cancer.

What You Will Learn: We have structured the curriculum into 3 distinct modules covering 10 comprehensive classes, taking you from basic cancer biology to advanced clinical data analysis.

Module 1: Foundations of Oncology & Data Resources: Build the necessary biological context. Understand the "Hallmarks of Cancer" and learn how to navigate and extract data from the world's largest cancer repositories, such as The Cancer Genome Atlas (TCGA) and cBioPortal.

Module 2: Genomic Analysis of Cancer Data: Dive into the core technical skills. Learn how to process Next-Generation Sequencing (NGS) data to identify critical mutations (SNVs, Indels) and analyze how genes are differentially expressed in tumor versus normal tissue.

Module 3: Clinical Application & Career Skills: Connect data to patient outcomes. Master the art of Survival Analysis, understand how to identify potential drug targets (Biomarkers), and explore the workflow of Precision Medicine.

Who Should Attend:

• Undergraduate and Postgraduate students in Genetic Engineering, Pharmacy, and Bioinformatics.

• Medical students and researchers interested in Precision Oncology.

• Computer Science students looking to apply ML/Data Science in healthcare.

Outcome: By the end of this course, you will have a solid understanding of cancer genomics, the ability to independently analyze tumor datasets, and the practical skills to interpret clinical survival data for research or diagnostic purposes.