Explore

Python for Genomic Data Science

Approx. 9 hours to complete

Save Course

Go to Course

Course Summary

Learn how to use Python to analyze and process genomic and biological data in this comprehensive course. Gain hands-on experience with tools and techniques commonly used in genomics research.

Key Learning Points

Use Python to analyze and process genomic data
Learn about common tools and techniques used in genomics research
Gain hands-on experience with real-world genomics projects

Learning Outcomes

Understand the basics of genomics and bioinformatics
Gain hands-on experience with Python tools and techniques for genomics research
Develop skills in data analysis and visualization

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Python programming
Familiarity with biology and genetics

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Project-based

Similar Courses

Data Science in Python
Introduction to Bioinformatics

Related Education Paths

Notable People in This Field

Director of the National Institutes of Health
Professor of Chemistry and Molecular and Cell Biology at UC Berkeley

Related Books

Description

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.

Outline

Week One
Lecture 1: Overview of Python
Lecture 2.1 - First Steps Toward Programming Part 1
Lecture 2.2 - First Steps Toward Programming Part 2
Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)
Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)
Welcome
Pre-Course Survey
Syllabus
Lecture 1 Quiz
Lecture 2 Quiz

Week Two
Lecture 3.1: Data Structures Part 1 (11:58)
Lecture 3.2: Data Structures Part 2 (10:41)
Lecture 4.1: Ifs and Loops Part 1 (11:26)
Lecture 4.2: Ifs and Loops Part 2 (15:28)
Lecture 3 Quiz
Lecture 4 Quiz

Week Three
Lecture 5.1: Functions Part 1 (5:54)
Lecture 5.2: Functions Part 2 (8:20)
Lecture 5.3: Functions Part 3 (13:24)
Lecture 6: Modules and Packages (10:32)
Lecture 5 Quiz
Lecture 6 Quiz

Week Four
Lecture 7.1: Communicating with the Outside Part 1 (6:41)
Lecture 7.2: Communicating with the Outside Part 2 (7:38)
Lecture 7.3: Communicating with the Outside Part 3 (17:42)
Lecture 8: Biopython (13:32)
Final Exam Instructions
Post Course Survey
Lecture 7 Quiz
Lecture 8 Quiz
Final Exam (Read Instructions First)

Summary of User Reviews

Python Genomics course on Coursera receives positive reviews from users. The course covers various topics related to genomics using Python programming language. Many users appreciated the practical approach of the course.

Key Aspect Users Liked About This Course

Many users liked the practical approach of the course

Pros from User Reviews

Great for beginners in genomics and programming
Well-structured course material
Interactive assignments and quizzes
Clear and concise explanations
Engaging and knowledgeable instructors

Cons from User Reviews

Some users found the pace of the course too fast
Not enough advanced topics covered
Limited interaction with instructors
Some technical issues with the platform
Course may require prior knowledge in genetics

Recommended for you

Time Series Analysis in Python 2021

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting How does a commercial bank forecast the expected performance of their loan portfolio?...

Save Course

AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools

AWS Databases, EMR, SageMaker, IoT, Redshift, Glue, QuickSight, RDS, Aurora, DynamoDB, Kinesis, Rekognition & much more This is the most-comprehensive AWS course related to AWS data architecture on the market....

Save Course