Course Description

Python is a free, open-source, and powerful programming language that is easy to learn. This course is intended for non-programmers who want to learn how to write programs that expand the breadth and depth of their daily research. Most elementary concepts in Python coding will be covered, including basic syntax, reading from and writing text files, debugging Python programs, regular expressions, and creating reusable code modules that are distributable to peers. The course will also focus on potential applications of Python to bioinformatics, data visualization, and data analysis. Students will also learn to use notebooks in the form of Google Colaboratory, which is free.


A computer with Google Chrome installed + a Gmail Account is needed. Additionally, a Mac or Windows 10 computer (with Ubuntu terminal for Windows installed) may be helpful. 

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Demonstrate basic knowledge of object-oriented programming in Python
  • Create transparent and reproducible notebooks in Google Colaboratory
  • Identify foundational principles in writing high-quality code
  • Perform hands-on exercises with entry-level concepts in scientific data analysis using Python.
  • Run a program of your own design in the terminal or a cloud-based environment.

This course applies toward the Bioinformatics Endeavor digital badge.

Textbook Information

There is no textbook for purchase required for this course.


There are no prerequisites for this course.

Additional Information

This course is for learners looking to learn the Python coding language for data analysis, specifically focused on biological sciences. 

Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details

A computer with Google Chrome installed + a Gmail account is needed. Additionally, a Mac or Windows 10 computer (with the Ubuntu terminal for Windows installed) may be helpful.
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