Course description
This course aims at introducing students to the fundamental elements of the Python programming language. Motivating examples arising from health-related research will be used to demonstrate how to use the programming language to answer a variety of relevant questions. Learning activities will give students the possibility to learn Python the hard yet easier way – that is – problem, code, and run.
Prerequisites and Selection
Prerequisite courses, or equivalent
Epidemiology I: Introduction to epidemiology; Biostatistics I: Introduction for epidemiologists and Biostatistics II: Logistic regression for epidemiologists, or equivalent courses.
Selection
Eligible doctoral students will be prioritized according to:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written information),
2) date for registration as a doctoral student (priority given to earlier registration date).
To be considered, submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, as well as an account of previous courses taken.
Course director
Nicola Orsini, nicola.orsini@ki.se
Course syllabus
K9F5316
Department
Department of Global Public Health
Doctoral programme
Epidemiology
Type of course
**Other course
Keywords
Software, Python