Next-Generation Sequencing Data Analysis Program

Introduction to the Course

Course Objectives

• Sequencing datasets require professionals to execute quality control operations combined with trimming procedures and alignment methods and quantification techniques.
• The program provides practical training for participants to construct reproducible NGS pipelines which scientists use in their genomics research work.
• The program teaches students fundamental workflows necessary for conducting RNA-seq analysis and variant detection and differential expression analysis.
• Artificial intelligence NGS data analysis improves the ability to prioritize data and produce annotations and identify patterns.
  

What Will You Learn (Modules)

Module 1: NGS Basics & Quality Control

• Learn the fundamentals of NGS data, file formats, and how to perform quality control and trimming to prepare your reads for analysis

Module 2:Alignment, Mapping & Counting

• Understand how to align reads to reference genomes, generate expression counts, and work with count matrices for downstream analysis.

Module 3: Differential Expression & Interpretation

• Explore methods for differential expression analysis, statistical testing, and biological interpretation of results with visualization techniques

Who Should Take This Course?

This course is ideal for:

• Professionals in biotech, pharma, clinical research, and genomics who want practical NGS skills
• Students in biotechnology, bioinformatics, genetics, microbiology, and life sciences
• Researchers working with RNA-seq, WGS/WES, metagenomics, or transcriptomics datasets
• Career switchers moving into bioinformatics, computational biology, or data-driven genomics

Job Opportunities

After completing this course, learners can pursue roles such as:

• Bioinformatics Analyst (NGS)
• Genomics Data Analyst
• NGS Pipeline Developer
• Computational Biologist

Why Learn With Nanoschool?

At NanoSchool, we focus on career-relevant learning that builds real capability—not just theory.

• Expert-led training: Learn from instructors with real-world experience in applying skills to industry and research problems.
• Practical & hands-on approach: Build skills through guided activities, templates, and task-based learning you can apply immediately.
• Industry-aligned curriculum: Course content is designed around current tools, workflows, and expectations from employers.
• Portfolio-ready outcomes: Create outputs you can showcase in interviews, academic profiles, proposals, or real work.
• Learner support: Get structured guidance, clear learning paths, and support to stay consistent and finish strong.

Key outcomes of the course

Upon completion, learners will be able to:

• RNA-seq and variant analysis with interpretation skills
• Develop pipelines for research and industry projects
• Communicate insights and reports with clear interpretation of sequence data
• Progress your career with skills applicable to the job industry in genomics and bioinformatics