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PhDnet@CAIS. On to Jupyter – Data Analysis and Visualisation with Jupyter Notebooks and Python

PhDnet Digitale Methoden

Anyone who approaches “data science” quickly realises that structured work and well-sorted work are extremely important. But they also realise that practice is different. Data formatted back and forth, scripts in different programming languages from different sources, make it difficult to understand one’s own work a few weeks later.

To simplify documentation and structuring, there is software that supports us. Widely used is the web-based application “Jupyter” (see https://jupyter.org/). It allows the step-by-step execution of analyses in different languages and the documentation of the analysis steps.

In this workshop we want to try out Jupyter, install it on our own computer and test it with a small project using Python. After an input on Jupyter and data analysis with Python, you can familiarise yourself with the software. In the second part, we want to implement a small project in which we examine the personalisation of advertising on Instagram. If you have your own account, you can carry out the evaluation using your profile.

Previous knowledge is not required. Any software to be installed will be announced in good time. The workshop will take place digitally (via Zoom).

To register, please contact Dr. Nina Hahne (phdnet@cais-research.de).

The PhDnet workshop series on digital methods is primarily (but of course not exclusively) aimed at humanities scholars. The focus is on the presentation and practical application of tools for collecting, analysing and visualising research data. Participants will critically discuss the possibilities and limitations of individual methods and share their experiences.

The workshops will cover the following topics:

  • Data collection
  • Data analysis
  • Data preparation, documentation and visualisation
  • Ethical issues surrounding the use of digital methods
  • Data protection issues

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