Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.



Command Line Tools for Genomic Data Science
This course is part of Genomic Data Science Specialization

Instructor: Liliana Florea, PhD
31,807 already enrolled
Included with 
(570 reviews)
Skills you'll gain
Details to know

Add to your LinkedIn profile
8 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
In this module, you will be introduced to Command Line Tools for Genomic Data Science
What's included
12 videos6 readings2 assignments
In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.
What's included
11 videos1 reading2 assignments
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
What's included
8 videos1 reading2 assignments
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.
What's included
8 videos2 readings2 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Explore more from Data Analysis
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Why people choose Coursera for their career




Learner reviews
570 reviews
- 5 stars
50.35%
- 4 stars
21.40%
- 3 stars
13.85%
- 2 stars
5.61%
- 1 star
8.77%
Showing 3 of 570
Reviewed on Jan 8, 2017
More in-depth explanation would be better. Reasonable projects, overall. Well structured.
Reviewed on Aug 26, 2018
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
Reviewed on Oct 23, 2025
i want to start this course free throughout , kindly allow it for everyone , your course is such an amazing skill that everyone should has

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

