BACKGROUND
Python is a powerful and versatile programming language that offers valuable tools for working with quantitative data, from managing large datasets and performing statistical analyses to automating repetitive tasks and visualizing results.
WORKSHOP GOAL
By the end of this training, participants will have a foundational understanding of Python and its potential for quantitative data analysis. They will gain hands-on experience with basic programming concepts and learn how to work with numerical datasets, enabling them to write simple scripts, perform basic analyses, and start applying Python to their own research projects.
WORKSHOP CONTENT
- Key programming concepts, including variables, data types, loops, and basic syntax.
- Small, guided exercises to reinforce learning and build confidence.
- Introduction to working with quantitative data in Python, including reading, processing, analyzing, and visualizing numerical datasets.
TARGET AUDIENCE & PRIOR KNOWLEDGE
The training is designed for individuals with
little to no prior experience in Python who are interested in using it for quantitative data analysis in their research.
TECHNICAL REQUIREMENTS
ABOUT THE TRAINER
Annika Nolte is a data scientist for training and consulting at the DSC. She holds a master’s degree in Environmental Sciences from the Technical University of Braunschweig (2019). She has over five years of experience in scientific programming, specializing in data management and processing, hydroinformatics, geospatial analysis, and AI for environmental modeling. In training and consulting, Annika draws on her research background and broad interdisciplinary expertise in Earth system sciences.