From electronic health records and medical imaging to wearable devices and remote monitoring, technology has enabled healthcare providers to collect and examine vast amounts of data to gain insights. However, as data becomes increasingly pervasive in medicine, it has become increasingly important for medical practitioners to have the skills needed to automate analyses.
Data science can be used to gain insights from large amounts of data and uncover patterns that can help inform healthcare decisions. Data science can also be used to develop more accurate diagnostic techniques, create more efficient treatments, and develop predictive models that can help anticipate potential health issues.
Program Description
T-CAIREM is pleased to offer this 10-week professional development course to participants who would like to learn more about AI in medicine. This course will provide participants with a comprehensive introduction to data science in the Python programming language.
Participants in this course will learn how to use powerful tools to analyze time-series data, process images, train machine learning models, and create visualizations. By the end of the course, participants will come away with the skills and mindset needed to delve into tasks ranging from speech analysis to image classification. Learners in this course will learn how to use powerful tools to analyze time-series data, process images, train machine learning models and create visulizations. NOTE: 100% completion of all course assignments is mandatory in order to receive a Certificate of Completion for this course.
Course website: https://c4m-uoft.github.io/schedule.html
IMPORTANT: Registration deadline is June 2, 2024, at 7:00pm EDT
