OpenUp offers short courses in data-driven storytelling for anyone who uses data or would like to use data to find new insights, spot patterns, trends or anomalies, or communicate effectively using data to their intended audience.
OpenUp offers short courses in data-driven storytelling for newsrooms, full-time and freelance journalists, activists, and people working in non-profit and non-governmental organisations.
We also offer data-driven storytelling training for people working in the public and private sectors who need to communicate information in an effective and easy-to-understand way.
Open data initiatives and data literacy have become increasingly important as the digital age opens up new ways for people to access and interrogate information. Convergence between government, academia, media and technology means that these data-driven pursuits can be used for the benefit of society. As a result, data driven storytelling plays a pivotal role in communicating the fruits of this convergence across the globe.
This course presents a comprehensive introduction to the fundamentals of data journalism as a method for practicing storytelling with data.
It walks participants through what data is, who works with it, and what can be done with data. It also provides participants with a blueprint to follow in order to effectively process data to prepare it for storytelling, in the form of the data pipeline.
In today’s world, information is being transformed into data. A key ability for a data storyteller is to be able to find, extract and transform relevant data into machine readable format. Sourcing and scraping data is the very first step of any data process, or the Data Pipeline. Once relevant data has been sourced and extracted into machine readable format, it can then be cleaned and then analysed.
It’s not enough to have access to information, it is necessary to understand the correct way to organise, reorder and shape a dataset dependant on the need or the angle of a story. Data cleaning tools allow those working with data to correct typo’s or other errors that can creep into datasets through different data capture methods.
In today’s world, information is being transformed into data. Journalists need to understand how to analyse this data in order to discover new issues, gain a better understanding of the reality, and to be able to verify facts from sources.
This brings power to accountability, where data is the common language and will disclose any information that is hidden. A spreadsheet forms the knowledge base that provides the springboard for those wishing to tell stories using data into the world of data analysis.
Visualising data is one of the final ways in which we package data for communication. To do this effectively we need a clear understanding of which portion of our data tells or enriches our story, understanding what our audience requires in order to interpret or access the information in our visualisation and how to translate that understanding into our visualisation through wielding basic design elements such as colour, type and composition.
This course presents a comprehensive introduction to visualising your data for the purposes of storytelling by focusing on the creation and integration of data visualisations in the form of interactive charts and graphs, infographics and maps suitable for use in both print and digital environments.