Paid Certificate Intermediate Health & Medicine

Genomic Data Science Specialization -- Johns Hopkins University

Johns Hopkins University

A comprehensive specialization from Johns Hopkins University covering the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments using Python, R, Bioconductor, and command line tools.

Duration

6 months

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

Some background in biology, statistics, or computer science is helpful but not strictly required. Basic familiarity with at least one programming language is recommended.

👥 Who Should Take This Course

  • Biologists and life science researchers seeking computational genomics skills
  • Data scientists interested in applying their skills to genomic research
  • Medical professionals exploring precision medicine and genomic analysis
  • Graduate students in bioinformatics or computational biology

📚 What You Will Learn

1

Introduction to Genomic Technologies and DNA Sequencing

2

Python for Genomic Data Science

3

Algorithms for DNA Sequencing and Alignment

4

Command Line Tools for Genomic Data Processing

5

Bioconductor for Genomic Data Analysis in R

6

Statistics for Genomic Data Science

🏛️ About the Institution — Johns Hopkins University

Johns Hopkins University is a world-leading private research university in Baltimore, Maryland. It is consistently ranked among the top research universities globally and is renowned for its Bloomberg School of Public Health, the largest school of public health in the world.

Founded

1876

Location

Baltimore, Maryland, USA

Recognition

#9 National University — U.S. News & World Report 2024

❓ Frequently Asked Questions

Do I need a biology background to take this specialization?
While some biology background is helpful, the specialization starts with an introductory course on genomic technologies that provides the necessary biological context. Learners from computer science or statistics backgrounds can successfully complete the program.
How can I get a certificate for free?
You can audit all courses in the specialization for free. To earn a certificate, apply for 课程平台's financial aid program, which grants full access including graded assignments and certificates at no cost.
What programming languages are covered in this specialization?
The specialization covers Python for general genomic data processing, R and Bioconductor for statistical genomic analysis, and Unix command line tools for working with sequencing data files and pipelines.

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Complete walkthrough with screenshots, tips, and troubleshooting

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