Laboratory equipment

COURSES

Our comprehensive training equips professionals with the skills necessary to excel in the health sector from health data management, Electronic Medical Records implementation, to public health decision-making.

Scientific Communication

SCIENTIFIC
COMMUNICATION

This course is designed for technically-trained data scientists and covers effective data visualization, levels of communication, and strategies for addressing misinformation. Participants will engage in hands-on training with visualization tools, learn to craft detailed technical reports, simplify complex data for public consumption, and develop communication strategies to counteract misinformation. The course includes case studies, critiques, and a capstone project to apply techniques to real-world issues, emphasizing ethical considerations and methods for communicating complex material and controversial topics.

Data Science and Visualization

DATA SCIENCE AND
VISUALIZATION

This course is specifically made for trained clinicians within the health sector. It provides participants with a comprehensive introduction to data science concepts, techniques, and tools. It equips students with practical skills in data manipulation, analysis, and visualization, enabling them to derive meaningful insights from data and communicate them effectively. Participants will leave confident in applying basic data skills and harnessing it for data-driven decision making in their own practice/work.

Epidemiology for Data Scientists

EPIDEMIOLOGY FOR
DATA SCIENTISTS

This public health course equips technically trained data scientists with essential public health knowledge to excel in the health sector. It covers fundamental principles of epidemiology, focusing on communicable diseases relevant to the African landscape, and includes study designs like cohort and case-control studies, and advanced health-specific data analysis techniques such as regression and survival analysis. Participants will engage with real-world case studies to apply epidemiological methods to public health issues, ensuring a practical understanding of health data sources, collection methods, and quality control.