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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.

INDIVIDUAL LAPTOP IS NEEDED FOR EACH CLASS.

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.

What FAES Learners are Saying

"The guided code before each assignment was really great - that was almost sufficient to understand and complete each work. Extra reading material was nice as it (for me) worked as recommendations of where to find more info." - FAES Learner

"I really liked how the videos were directly applicable to the notebooks we'd then complete, and also how the notebooks had lots of practice and examples ahead of doing our own. This made it easy for me to grasp concepts before trying them out."  - FAES Learner
 

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

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. 

Refund
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

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

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To Register Click on "Add to Cart"
Section Title
Introduction to Python for Biomedical Sciences
Type
Online Asynchronous
Dates
Jun 11, 2025 to Jul 29, 2025
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
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