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Introduction to Python

Start: End: Location: tba
Event type:
  • Forschungsnah / Research-related
  • For doctoral researchers
  • Für Promovierende
This course provides an introduction to the basics of Python.

Are you a doctoral researcher who needs to analyze data or automate tasks, but never had formal programming training? You're not alone.

Python is one of the most widely used programming languages, with applications spanning across numerous scientific disciplines. Its clear syntax and extensive ecosystem of scientific libraries have made it the go-to choice for researchers worldwide. While Python is often not part of the standard curriculum in many technical fields, it has become an essential tool for modern research.

Learning to code is a journey of self-discovery – no one can teach you programming, but we can provide you with the right foundation and environment to learn effectively. This course is designed specifically for doctoral researchers who want to incorporate programming into their research workflow.

Over four half-day sessions, you will:

  • Master Python fundamentals in a supportive, research-oriented environment
  • Build practical skills through hands-on exercises relevant to academic research
  • Learn alongside fellow researchers facing similar challenges
  • Develop a solid foundation for data science applications

The course structure combines synchronized learning sessions with self-paced exercises between meetings, allowing you to practice and consolidate your knowledge. Beyond the course, you'll receive access to curated learning materials that support your continued learning journey.

Our focus lies in establishing core programming concepts while keeping sight of practical research applications. Whether you plan to analyze experimental data, automate repetitive tasks, or dive into advanced data science methods, this course provides the essential building blocks for your programming journey.

  • Dates: 17.03., 24.03., 31.03. and 07.04., from 13:00 to 17:00 h
  • Target group: PhD students (The course is suitable for participants from all faculties, especially for those who want to use Python for scientific work or data analysis.)
  • Participation requirements: No specific prior knowledge required. Basic computer skills are helpful and a personal computer is required.
  • Notes for participants from other faculties: The course is suitable for participants from all faculties, especially for those who want to use Python for scientific work or data analysis.
  • Language: English
  • Trainer: Michelle Henkies, Nikolai West
  • Participants: max. 15
  • Registration deadline: 10.03.2025
  • Contact for queries and registration: Nikolai West

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