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Course Description

This course is designed for non-programmers looking to enhance their biomedical science research capabilities through coding. Through special focus given to real world applications and data analysis in the biomedical field, you will learn to work with Python to translate complex biomedical data into clear and insightful data analyses and visualizations. You will develop a comprehensive foundation to Python as the course guides you through the essentials of syntax and semantics, data structures, data cleaning, and operational frameworks. Practical sessions will introduce you to using Google Colaboratory notebooks for interactive programming and managing virtual environments for sophisticated biomedical computing tasks using reusable codes. By the end of the course, you will be equipped with the tools to harness Python's full potential, bridging the gap between computational skills and biomedical research excellence.

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

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

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Section Title
Introduction to Python for Biomedical Sciences
Type
Online Asynchronous
Dates
Oct 23, 2024 to Dec 10, 2024
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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