Course Description

Learning from data in order to make useful predictions or obtain insights is a cornerstone of modern science. The goal of this course is to introduce students to the basic tools and workflows for doing this, with a focus on biological- and health-related data. In this course, students will learn how to use Python-based tools, particularly Numpy, SciKit-learn, Pandas, and Matplotlib.

Learner Outcomes

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

  • Load and clean data
  • Choose what type of model (e.g. supervised or unsupervised) to use based on the questions being asked of the data
  • Build and validate the chosen model
  • Visualize and explain what that model learned from the data


This course applies toward the Bioinformatics Endeavor digital badge.


There are no prerequisites for this course, but some programming experience is helpful.

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Section Title
Introduction to Data Science
Online Asynchronous
Jun 14, 2023 to Aug 01, 2023
Total Cost (Includes $75 non-refundable technology fee per course)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
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