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python_101_humanities

Introduction to data analysis basics for the humanities

https://github.com/goli-sf/python_101_humanities

Science Score: 44.0%

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Introduction to data analysis basics for the humanities

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Created 12 months ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

The main goal of this lesson is to familiarize Humanities students and scholars with quantitative methods and data analysis basics. To make the concepts and methods of digital data analysis more concrete and demonstrate their use case, this lesson also introduces the learners to the programming language Python. Using Python on different datasets consisting of tables, text, images and sounds, learners explore the possibilities of digital data analysis for the purpose of humanities research.

Author

This lesson has been developed by Golnaz Sarkar Farshi.

Funding

This lesson has been developed as part of the joint project HERMES – Humanities Education in Research, Data, and Methods. HERMES is funded by the German Federal Ministry of Education and Research (BMBF) through grants from the European Union.

License

This lesson has a CC-BY license.

Owner

  • Name: Golnaz Sarkar Farshi
  • Login: Goli-SF
  • Kind: user

Citation (CITATION.cff) 

# This template CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to replace its contents
# with information about your lesson.
# Remember to update this file periodically, 
# ensuring that the author list and other fields remain accurate.

cff-version: 1.2.0
title: FIXME
message: >-
  Please cite this lesson using the information in this file
  when you refer to it in publications, and/or if you
  re-use, adapt, or expand on the content in your own
  training material.
type: dataset
authors:
  - given-names: FIXME
    family-names: FIXME
abstract: >-
  FIXME Replace this with a short abstract describing the
  lesson, e.g. its target audience and main intended
  learning objectives.
license: CC-BY-4.0

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Dependencies

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