This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Python for Genomic Data Science

Python for Genomic Data Science
This course is part of Genomic Data Science Specialization

Instructors: Mihaela Pertea, PhD
Access provided by Skills Development Fund
77,658 already enrolled
1,816 reviews
Skills you'll gain
Tools you'll learn
Details to know

Add to your LinkedIn profile
9 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
53.89%
- 4 stars
29.08%
- 3 stars
9.65%
- 2 stars
4.93%
- 1 star
2.41%
Showing 3 of 1816
Reviewed on Jul 16, 2018
A very good course for its length and the amount of time it requires. It improved my python skills and knowledge of Genomics. I'm more engaged in my pursuits than before taking the course.
Reviewed on Feb 2, 2018
You better know a lot about Python if you plan to pass this course!! Items covered in lecture are elementary. Items covered in exams/quiz's are Graduate Level!!!
Reviewed on Apr 1, 2020
A few more simple practical assignments would be beneficial. I had no background of coding and needed more basics before I could grasp the concepts fully.
Explore more from Data Science

Google

University of Michigan

Johns Hopkins University

Johns Hopkins University
