Command Line Tools for Genomic Data Science

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

The Command Line Tools for Genomic Data Science program is a non-degree course for students who want to learn about managing and analyzing genomic data. It's a short course that lasts a few weeks, taught in English at Johns Hopkins University. You'll get to learn the essential commands for working with directories, files, and large sets of genomic data.

This course covers specific skills like managing files and directories, working with genomic data, and using command line tools. You'll develop hands-on skills through practical exercises and learn how to apply these skills to real-world problems. The course is part of the Genomic Big Data Science Specialization, which helps you build a strong foundation in genomic data science.

After completing this course, you can pursue careers like Bioinformatician, Data Analyst, Genomic Researcher, or Computational Biologist. You can work in industries like healthcare, research, or biotechnology, and potential employers include universities, hospitals, or pharmaceutical companies. The skills you learn in this course will help you work with large datasets and make informed decisions in your future career.