What you will learn in Genomic Data Science Specialization Course
Gain a strong foundation in genomic data science, bioinformatics, and computational biology.
Learn to use bioinformatics tools and software like Python, R, and Bioconductor.
Understand DNA sequencing technologies, genome assembly, and data analysis.
Develop skills in genomic variant detection, annotation, and interpretation.
Learn machine learning applications in genomics and analyze large-scale datasets.
Apply real-world genomic case studies and research techniques.
Program Overview
Introduction to Genomic Data Science
⏱️4-6 weeks
Explore the basics of DNA sequencing and computational biology.
Learn about bioinformatics workflows and tools.
Python and R for Genomic Analysis
⏱️6-8 weeks
Develop skills in Python, R, and Bioconductor for genomic data analysis.
Perform sequence alignment, variant calling, and annotation.
DNA Sequencing Technologies & Genome Assembly
⏱️8-10 weeks
Understand next-generation sequencing (NGS) technologies.
Learn genome assembly methods and sequence alignment.
Statistical & Machine Learning Approaches in Genomics
⏱️10-12 weeks
Apply machine learning and data science techniques to genomic data.
Learn predictive modeling and genomic pattern recognition.
Capstone Project in Genomic Data Science
⏱️12-14 weeks
Work on a real-world genomic dataset.
Use bioinformatics pipelines and statistical models to analyze genetic data.
Get certificate
Job Outlook
High demand for bioinformaticians, geneticists, and data scientists in healthcare and research.
Genomic data science plays a crucial role in precision medicine, drug discovery, and disease prediction.
Career opportunities in biotechnology, pharmaceuticals, research institutes, and hospitals.
Salaries for genomic data scientists range from $80K to $150K+ annually.
A great stepping stone for careers in computational biology, AI-driven genomics, and genetics research.
Specification: Genomic Data Science Specialization
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