Python for Genomic Data Science

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Python for Genomic Data Science

Name: Python for Genomic Data Science
Rating: 4.270879120879121 (1820 reviews)

This course is part of Genomic Data Science Specialization

Instructors: Mihaela Pertea, PhD

77,144 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

1,820 reviews

8 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

1,820 reviews

8 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

89%

Most learners liked this course

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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 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 videosTotal 58 minutes

Lecture 1: Overview of Python13 minutes
Lecture 2.1 - First Steps Toward Programming Part 111 minutes
Lecture 2.2 - First Steps Toward Programming Part 215 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 readingsTotal 30 minutes

Welcome10 minutes
Pre-Course Survey10 minutes
Syllabus10 minutes

2 assignmentsTotal 36 minutes

Lecture 1 Quiz6 minutes
Lecture 2 Quiz30 minutes

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

4 videosTotal 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 readingsTotal 20 minutes

Final Exam Instructions10 minutes
Post Course Survey10 minutes

3 assignmentsTotal 90 minutes

Lecture 7 Quiz30 minutes
Lecture 8 Quiz30 minutes
Final Exam (Read Instructions First)30 minutes

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Instructors

Instructor ratings

(254 ratings)

Mihaela Pertea, PhD

Johns Hopkins University

1 Course77,144 learners

Offered by

Johns Hopkins University

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Showing 3 of 1820

Reviewed on Feb 28, 2016

good course for python but you definitely need to have some background in programming to be able to pass. recommend python course by UMichigan here at Coursera.

Reviewed on May 25, 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 Jul 2, 2016

This course was in line with my expectations. Sometimes exercises were a bit out of context. I would have probably dedicated more time to Biopython.

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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.