Computing and Data Science for Clinical Scientists
This course is for Clinical Scientists Course and is an online 3-day course, with an optional 4th day on Data Science and AI, tailored for STP trainees across a wide range of specialties.
Course Overview
Who Will Benefit: STP trainees across various specialties looking to enhance their skills in clinical computing, data processing, and data science.
Learning Outcomes Covered
The course is mapped to the following learning outcomes:
Core Skills (Days 1–3):
Optional Day 4 (Data Science & AI):
Gain practical skills aligned with S-CE-S2 #10 by scripting machine learning models and using Python tools.
This interactive, virtual course would provide essential computational skills directly relevant to clinical scientific practice.
Course Overview
Who Will Benefit: STP trainees across various specialties looking to enhance their skills in clinical computing, data processing, and data science.
Learning Outcomes Covered
The course is mapped to the following learning outcomes:
Core Skills (Days 1–3):
- S-BG-R1 #3, #7, #8, #10: Observe and work with data-processing pipelines, database information retrieval, and external data sources in clinical settings.
- S-BG-R1 DOPS: Prepare pipeline commands, check progress, and write database queries.
S-CSC-R1 #5, #6, #7, #9: Explore emerging technologies, legislative influences, and quality management systems in clinical computing.- S-CSC-R1 DOPS: Download datasets, transfer data, and install/test clinical software.
S-CE-S2 #1, #10, S-CE-S3 #9: Create relational databases, develop data input forms, and produce GUIs or webpages to present data.
S-IN-S1 #14, #15, #16, #17, #19: Work with DICOM image headers, image registration, segmentation methodologies, and set up/test DICOM links.
Optional Day 4 (Data Science & AI):
Gain practical skills aligned with S-CE-S2 #10 by scripting machine learning models and using Python tools.
Apply techniques to develop supervised and unsupervised learning algorithms and explore AI applications in clinical imaging.
