The material in this repository was presented at a training workshop in Freetown, Sierra Leone on August 5, 2019. The training was organized by The Directorate of Science Technology and Innovation (DSTI) and the World Bank Group as part of capacity building efforts under the The World Bank's Freetown Integrated Transport Project.
The goal of the one day training workshop is to introduce participants to tools and techniques for handling large scale CDR data from mobile phones. In particular, the course focuses on use of Python and Apache Spark computing framework to generate mobility indicators from CDRs.
The source code live in the src folder. Due to large size of powerpoint files, these are not included in the repository, instead you can find uptodate powerpoint slides here. Also, the data is not included in the repository, it will be shared during the session. All the code use Python 3.