Registration open for self-paced online Data Science course (Deadline: Feb. 18)
From Electronic Health Records and medical imaging to wearable devices and remote monitoring, technology enables healthcare providers to collect and examine vast amounts of data to gain insights. As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and to have the skills needed to build and evaluate their own machine-learning models.
T-CAIREM is pleased to offer three standalone 5-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine. These self-directed online courses will provide learners with an introduction to Python programming language, an overview of how to interact with different types of medical data in computer programs, and case studies on how to apply machine learning on real-world datasets.
Course Delivery
To accommodate learners of different levels, there are three sequential courses available. Each course has assignments and takes place over a five-week window. Participants can complete each course on their own time at their own pace.
All three courses will be taught via pre-recorded video lessons using the University of Toronto's Quercus system. Students will be able to reach out and ask questions through Quercus and live office hours with the instructor.
A Certificate of Completion will be issued for each course to participants who complete the required assignments in a timely fashion.
You don't need to take all three courses if you don't want to. Each course is treated as a separate standalone component for learners at different phases of their educational journey.
Course 2: Data Science
In this second 5-week course, participants will learn how to visualize and manipulate time-series and image data.
Dates: Tuesday, February 25, 2025 to Tuesday, March 25, 2025
Course 2: Objectives
• To learn how to work with tabular data using the pandas library
• To learn the basics of digital signal processing with time-series data using the numpy and scipy libraries
• To learn the basics of image processing with image data using the opencv library
• To learn how to generate useful visualizations using the matplotlib library.
REGISTRATION DEADLINE: February 18 (Tues.) at 11:59pm ET
