Since 1991 when the first version of Python was published, it has become one of the most important programming languages used in various scientific fields, quantitative finance and the today's data-driven business world for data analysis and visualization. Python is also one of the most demanded skills by future employers in data science outside academia.
For this course, no prior knowledge in any programming language is required. Therefore it should be suitable for participants of any discipline with no coding experience.
The participants of this course will become familiar with the foundations of coding/programming by the example of the popular programming language Python using Jupyter Notebooks. The course language will be English.
Potential participants will be introduced during 8 sessions of 3 hours each to
• Basic data types, variables and operators: int/float, strings, tuples, lists, dictionaries
• Control flow structures: for/while loops, if/elif/else statements, switches
• Code structuring: functions, loading and usage of modules
• Running code from the command-line including command-line arguments
• First application examples of data handling and visualization
The course takes place over 4 days and is intended for interested Life Sciences students (biology in the broadest sense, landscape ecology), but also for everyone else.
Instructor: Alexander Scheuerlein
Dates: 26.05. – 29.05.2026 / 9:00 am – 04:00 pm
Location: Felix-Hausdorff-Straße 18, Raum 1.26
Language: English
Registration deadline until the 25.05.2026.
To participate, please register for the lecture series via this link.
Contact
Graduiertenakademie der Universität Greifswald
Domstraße 11, Eingang 4, Raum 3.24, 17489 Greifswald
Telefon +49 3834 420 1618
graduiertenakademieuni-greifswaldde