This course is designed to introduce you to the fundamentals of Next Generation Sequencing (NGS) data analysis. NGS has revolutionized genomics and biotechnology, enabling high-throughput sequencing of DNA and RNA. In this course, you'll gain a solid understanding of the entire NGS workflow, from raw data generation to the final analysis. We'll start with an overview of the NGS platforms and technologies, covering key concepts such as sequencing chemistry, libraries, and reads. You'll then explore how to process and analyze raw data, including quality control steps, alignment to reference genomes, and variant detection. Key Topics: Introduction to NGS technologies (Illumina, PacBio, Oxford Nanopore) Basic bioinformatics tools for NGS data analysis (FastQC, Trimmomatic) Quality control: Understanding and interpreting sequencing metrics Aligning reads to reference genomes with tools like Bowtie2, BWA Variant calling and annotation (SNPs, indels) Basic data visualization: Exploring results using IGV and other visualization tools By the end of the course, you’ll be equipped with the foundational knowledge to begin analyzing NGS data and preparing it for downstream applications, such as genomic research or clinical diagnostics. Whether you are a researcher, student, or professional looking to enhance your bioinformatics skills, this course provides a practical starting point for mastering NGS data analysis. This course is beginner-friendly, with no prior bioinformatics experience required.