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 GE Healthcare India
74,372 already enrolled
Gain insight into a topic and learn the fundamentals.
1,810 reviews
8 hours to complete
Flexible schedule
Learn at your own pace
89%
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Skills you'll gain
- Computational Logic
- Data Structures
- Package and Software Management
- Python Programming
- Bioinformatics
- File I/O
- Data Manipulation
- Object Oriented Programming (OOP)
- Jupyter
- Programming Principles
- Skills section collapsed. Showing 9 of 10 skills.
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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.
- 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
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
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Showing 3 of 1810
DK
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.
GP
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
AN
Reviewed on Jul 14, 2022
It was easy in the beginning but gets hard and changing at the end.It was such an honor th have a course with Professor Salzburg.I would recommend it to all bioinformatics lovers.
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