Data allows journalists to take on bigger stories, more authoritatively verify claims, find new stories, offer detail and illumination to delicate issues, and be more transparent. But these opportunities also bring challenges for data journalism.
Drawing inspiration from narrative theory and design thinking, Karlijn Willems walks you through effectively using Jupyter notebooks to guide the data journalism workflow and tackle some of the challenges that data can pose to data journalism. You’ll learn how the Jupyter Notebook can help you to implement some of the most recent trends and best practices in data journalism and explore some real-world examples.
Karlijn Willems is a journalist at DataCamp, where she focuses on data science and data science education. Previously, she worked as a junior big data developer with Hadoop, Spark, and Scala. Karlijn holds a degree in literature and linguistics (English and Spanish) and information management from KU Leuven.
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