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651-4271-00L 3 Credits BSC D-ERDW

Data Analysis and Visualisation with Python in Earth Sciences

Erdwissenschaftliche Datenanalyse und Visualisierung mit Python

Lecturers & Examiners: Dr. Andrea Zunino, Dr. Gregory De Souza
VVZ CR n/a

Last Updated: 2026-06-03 00:07:42

Abstract

This lecture and the corresponding exercises provide the students with an introduction to the concepts and tools of programming and scientific data analysis. Using examples from Earth Sciences, the students solve problems of increasing complexity using the programming language Python. Students also learn how to effectively visualise different kinds of datasets.

Objective

The following concepts are introduced in the course: - Fundamentals of programming - Analysis of datasets of differing types - Effective and scientifically correct visualisation - Statistical description of a dataset

General Information

Language
German
Levels
BSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Erdwissenschaftliche Datenanalyse und Visualisierung mit Python No time listed 3 h weekly

Offered In