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.
The next course will run from 15th – 18th September 2025.
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.
The next course will run from 15th – 18th September 2025.
