Python for Genomic Data Science
Python for Genomic Data Science
This course is part of Genomic Data Science Specialization
76,853 already enrolled
Included with
Ask Coursera
1,818 reviews
1,818 reviews
Skills you'll gain
Tools you'll learn
Details to know
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
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.
This week we will have an overview of Python and take the first steps towards programming.
What's included
5 videos3 readings2 assignments
5 videos•Total 58 minutes
- Lecture 1: Overview of Python•13 minutes
- Lecture 2.1 - First Steps Toward Programming Part 1•11 minutes
- Lecture 2.2 - First Steps Toward Programming Part 2•15 minutes
- Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)•9 minutes
- Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)•10 minutes
3 readings•Total 30 minutes
- Welcome•10 minutes
- Pre-Course Survey•10 minutes
- Syllabus•10 minutes
2 assignments•Total 36 minutes
- Lecture 1 Quiz•6 minutes
- Lecture 2 Quiz•30 minutes
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
What's included
4 videos2 assignments
4 videos•Total 50 minutes
- Lecture 3.1: Data Structures Part 1 (11:58)•12 minutes
- Lecture 3.2: Data Structures Part 2 (10:41)•11 minutes
- Lecture 4.1: Ifs and Loops Part 1 (11:26)•11 minutes
- Lecture 4.2: Ifs and Loops Part 2 (15:28)•15 minutes
2 assignments•Total 60 minutes
- Lecture 3 Quiz•30 minutes
- Lecture 4 Quiz•30 minutes
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
4 videos•Total 38 minutes
- Lecture 5.1: Functions Part 1 (5:54)•6 minutes
- Lecture 5.2: Functions Part 2 (8:20)•8 minutes
- Lecture 5.3: Functions Part 3 (13:24)•13 minutes
- Lecture 6: Modules and Packages (10:32)•11 minutes
2 assignments•Total 60 minutes
- Lecture 5 Quiz•30 minutes
- Lecture 6 Quiz•30 minutes
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
4 videos•Total 46 minutes
- Lecture 7.1: Communicating with the Outside Part 1 (6:41)•7 minutes
- Lecture 7.2: Communicating with the Outside Part 2 (7:38)•8 minutes
- Lecture 7.3: Communicating with the Outside Part 3 (17:42)•18 minutes
- Lecture 8: Biopython (13:32)•14 minutes
2 readings•Total 20 minutes
- Final Exam Instructions•10 minutes
- Post Course Survey•10 minutes
3 assignments•Total 90 minutes
- Lecture 7 Quiz•30 minutes
- Lecture 8 Quiz•30 minutes
- Final Exam (Read Instructions First)•30 minutes
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
Explore more from Data Analysis
- Status: Free TrialG
Google
Course
- Status: Free TrialJ
Johns Hopkins University
Course
- Status: Free TrialJ
Johns Hopkins University
Course
- Status: Free TrialU
University of Michigan
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
53.87%
- 4 stars
29.08%
- 3 stars
9.67%
- 2 stars
4.94%
- 1 star
2.41%
Showing 3 of 1818
Reviewed on Oct 6, 2017
Easy to understand and very powerful examples. Not just it made me familiar with python, it also made it easy for me to teach to my students and inspire them to pursue python further.
Reviewed on Jul 18, 2019
Compared to the lectures, the final exam was very difficult. It would be great if the professors provide more practical examples in the lectures similar to exam questions.
Reviewed on Apr 30, 2016
Great introduction to genomic data science using Python. The questions were challenging enough to make you work and wasn't too difficult that you get blocked.
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
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.