In this free webinar series, we cover the advantages and disadvantages of synthetic data. We explore the variety of methods available to generate synthetic data. Finally, we discuss the nuanced definitions comprising synthetic data itself.
Synthetic data – what it is and is not Fidelity – an important concept for synthetic data Uses of synthetic data Generating synthetic data
Importing and checking data Exploring data - data descriptives, visualising data, distributions Creating synthetic data - low fidelity options 1, 2, 3 and medium fidelity options 1, 2, and 3 Documentaiton
This workshop has been run multiple times over several years. The materials for each, including slide decks and Jupyter notebook files are available for each edition in a folder with the respective year.
- To access learning materials from the wider Computational Social Science training series: [Training Materials]
- To keep up to date with upcoming and past training events: [Events]
- To get in contact with feedback, ideas or to seek assistance: [Help]
Thank you and good luck on your journey exploring new forms of data!
Joseph Allen
UK Data Service
University of Manchester