The DS-I Africa consortium will be hosting a short course aimed at providing the essentials of biomedical data science in global health, particularly in an African setting. The course will combine theory and practice, utilising no-code platforms for programming requirements and, where applicable, open-source tools and resources to enhance sustainability and mitigate accessibility challenges. The topics covered will aim to equip participants with data science-related skills. The training will be hands-on and is best suited for those who plan to incorporate data science into their projects. The course is scheduled to run from 04 August to 29 September 2025. 
Course objectives
- Biomedical Data Science Essentials: Provide knowledge of the data science life cycle, including ethical considerations and regulatory frameworks
- Biomedical Data Processing and Analysis: Provide hands-on skills in biomedical data processing and analysis
- Biomedical Data Science Application: Provide knowledge of real-world data science applications to address biomedical problems and healthcare challenges.
The course will involve hands-on tutorials and access to online hosted materials. Access to a computer is required. Each module will require 4-6 hours to complete. Some modules will require online contact time of no more than 2 hours in any given week. A certificate of completion will be issued should requirements be met. The course is a pilot offering and FREE of charge.
Skills in Programming languages e.g. R and Python is NOT required and will NOT be taught in this course
Please register by 15 July 2025 using the link here: https://redcap.link/DSI_EBDS
Spaces are limited, so enroll asap. Confirmed places will be announced no later than 21 July
For more information, don't hesitate to get in touch with rolanda.julius@uct.ac.za