All 4 data electives compared: Download PDF |
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JOU 3305 Data Journalism (fall)
A gentle introduction to numbers in journalism, built for any writer in any genre. Skills: spreadsheets, SQL databases, cleaning, scraping, basic statistical analysis. Data newbies welcome. Pairs well with: JOU 3121 Dataviz & Mapping. Click on icon to download fall 2023 syllabus.
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JOU 3121 Dataviz and Mapping (spring)
Learn to (1) create a mobile-first, visual data story and (2) conduct geospatial analysis. Skills: Datawrapper, Tableau, QGIS. Data newbies welcome. Pairs well with: Data Journalism or Sports Data Journalism. Click on icon to download spring 2024 syllabus.
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JOU 4318 Sports Data Journalism (fall)
This is JOU 3305 for the sports crew. Learn how to use spreadsheets and databases to find new and better sports stories. Calculate home field advantage, analyze salary disparities, and determine whether the "hot hand" is real. Data newbies welcome. Pairs well with: JOU 3121 Dataviz & Mapping. Click on icon to download fall 2023 syllabus.
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JOU 4930 Advanced Data Journalism (spring)
For those who want to make a career in data journalism. Use R to apply more advanced statistical analysis to data sets journalists use. Pre-reqs: Completion of a Data Journalism course and prior or concurrent enrollment in Dataviz & Mapping. Click on icon to download spring 2024 syllabus.
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