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
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Gain insight into a topic and learn the fundamentals.
4.3
(1,760 reviews)
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
89%
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Assessments
9 assignments
Taught in English
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This course is part of the Genomic Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This week we will have an overview of Python and take the first steps towards programming.
What's included
5 videos3 readings2 assignments
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
What's included
4 videos2 assignments
In this module, we have a long three-part lecture on Functions as well as a 10-minute look at Modules and Packages.
What's included
4 videos2 assignments
In this module, we have another long three-part lecture, this time about Communicating with the Outside, as well as a final lecture about Biopython.
What's included
4 videos2 readings3 assignments
Instructors
Instructor ratings
4.2 (250 ratings)Offered by
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4.3
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Showing 3 of 1760
DK
5
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.
NH
5
Reviewed on May 12, 2022
It was a great course, even if you do not have any knowlege about Python. I work with Python but it was so interesting for me especially with the application in genomic data science.Thank you so much.
MK
4
Reviewed on Dec 13, 2016
Started very easy, but became quite hard at the end. Nicely structured and conveyes everything that is needed. However, sometimes I missed why specific tools have been used and not others.
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