The main goal of this lesson is to familiarize Humanities students and scholars with quantitative research 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, and network data, learners explore the possibilities of quantitative data analysis for the purpose of humanities research.
This lesson has been developed by Golnaz Sarkar Farshi.
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 Research, Technology and Space (BMFTR) through grants from the European Union.
This lesson has a CC-BY license.