The links below will take you to online resources for GIS and Data Science for Journalists.
Towards Data Science weblogs include case studies about Data and GIS applications in journalism. The broader page contains information about other topics in Data Science including machine learning, visualization and programming.
Intro to Mapping and GIS for Journalists (online course via the Univ. of Texas)
This resource page features course content from the Knight Center for Journalism in the America's massive open online course (MOOC) titled " Intro to Mapping and GIS for Journalists." The four-week course took place from August 27 to September 23, 2018, and is now available free to anyone else who is interested in geography, map making, data visualization and visual storytelling. No geographic background is required.
A Story Map Journalism Experience ( via GIS Lounge)
"A Story Map allows us to write from “where,” that is, from the location where the news is taking place – on an interactive digital map. It answers the five W’s in journalism, namely: “who,” “what,” “when,” “why,” and “how,” and also use images, videos, and sound to support the narration – which is why Story Maps are a powerful tool for digital journalism."
NetLogo (Agent Based Modeling) NetLogo is a programmable modeling environment for simulating natural and social phenomena. NetLogo is particularly well suited for modeling complex systems developing over time. Modelers can give instructions to hundreds or thousands of “agents” all operating independently. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from their interaction. NetLogo has extensive documentation and tutorials and includes a large collection of discipline-specific, pre-written simulations that can be used and modified.
R (language) R is a language and environment for statistical computing and graphics in data science. R provides a wide variety of statistical and graphical techniques, and is highly extensible. R facilitates the production of well-designed publication-quality plots, including mathematical symbols and formulæ.
Python Python is an easy-to-use and learn programming and analysis language with a broad range of applications, especially in data analysis. Python is a free and open source language with an extensive user-base and technical support. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.