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Werkzeuge der Datenwissenschaft

NAT3042Specialization Phase5 ECTSEnglishwinter semesterStudiengangsbündel Professional Profile Physik
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn how to handle data sources and data types, load data in Python (Jupyter), process with numpy and pandas, and perform exploratory and visual analyses. You also gain knowledge on powerful data processing (SQL, Dask, Numba, GPUs) as well as open science, versioning with git and publishing Python packages.

What you will be able to do

  • Load a dataset from disk into Python/Jupyter
  • Familiarity with numpy and pandas
  • Explore, transform and filter data
  • Visualize data distributions in low and high dimensions
  • Use statistical packages such as scipy
  • Visualize statistical results
  • Basic knowledge about git
  • Be able to publish a Python package to PyPI

What the module consists of

  • VorlesungTheoretical concepts and introduction of new tools/methods
  • ÜbungenPractical implementation of lecture content in Jupyter notebooks

Teaching method

  • Vorlesungsblock (90 Minuten, Donnerstag)Explanation of theoretical concepts and introduction of new tools
  • Anschließende praktische ÜbungenApplication of what has been learned to exercise tasks on the computer
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Official page in TUMonline · Details are not binding.