Data Science Week
- Veranstaltungsformat:
- Präsenzveranstaltung
- Veranstaltungsort:
-
- Universität Kassel
- Veranstalter:
-
- Graduiertenakademie
- Kategorie:
-
- Workshop
- Zielgruppe:
-
- Promovierende/Doktorand:innen
Veranstaltungssprache: English.
Are you working on your PhD project and ready to dive into data analysis? Whether you’ve just collected your first datasets or are preparing the final figures for your thesis or a peer-reviewed journal, this course is tailored for you. Learn efficient and elegant data analysis strategies, create impactful visualizations, and accelerate the progress of your research.
Course Goals
Participants will:
- Gain a solid foundation in Python-based data analysis methods.
- Practice effective data analysis and visualization strategies
- Learn proactive and independent self-learning habits beyond the bootcamp week
- Apply new techniques directly to their own research projects, ensuring seamless integration of skills into their work.
Contents
- Numpy
- Matplotlib & Seaborn
- File Handling & Coding Practices
- AI Coding Tools
- Pandas & Scipy
- Introduction to Machine Learning
Methods
The week is divided into two components:
1. Interactive Learning Sessions (50%): Participants will engage with key data analysis topics through interactive Python notebooks. These serve as both teaching tools and resources for future work.
2. Project Work & Coaching (50%): Participants dedicate time to their own projects with access to one-on-one coaching sessions from the trainer, Dr. Alexander Britz.
Prerequisites
A basic understanding of Python is required. For those needing a refresher, we offer an optional online pre-course, “Python Kickstart.”
Weitere Informationen zu dieser Veranstaltung
Veranstaltungsort:
Universität Kassel
Veranstalter:
Graduiertenakademie
Kontaktperson:
Gianna Dalfuß
Universität Kassel
Graduate Academy
Coordination of interdisciplinary doctoral training | Kassel Graduate Programme
0561 804 2427
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Speaker:
Dr. Alexander Britz
Dr. Alexander Britz holds a PhD in physics from the Universität Hamburg. With over a decade of experience in Python and MATLAB for interdisciplinary research—including postdoctoral work at Stanford University—Dr. Britz combines technical expertise with his skills as a trainer, coach, and lecturer in data analysis and communication.