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 EDGE Group
74,541 already enrolled
1,810 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
53.70%
- 4 stars
29.17%
- 3 stars
9.72%
- 2 stars
4.97%
- 1 star
2.43%
Showing 3 of 1810
Reviewed on May 10, 2018
I learned a lot. The final exam was more difficult than the course content, but I think it was critical for ensuring that I was able to apply the course content.
Reviewed on May 24, 2020
First 2 week just python basic learning which I had already learned and its advantage for me.Got more skills from my acceptation.Looking forward advance course also
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

Johns Hopkins University

Johns Hopkins University

University of Michigan

