The Knight Center’s Journalism Courses program offers two kinds of training: Instructor-led courses that are available during a specific time-frame (usually four to six weeks) and self-directed courses. For the self-directed courses, they are open to anyone and the learning materials from them are available in an ongoing, self-paced way.
For this course, we’re going to peel back the mystery around algorithms and AI so you gain a greater appreciation for these technologies can and can’t do for news production and journalism.
+ More
Learn the basics of telling stories with geographic data. We’ll share geographic concepts and best practices from a journalist’s perspective, including what types of datasets make good maps.
+ More
This course is for anyone interested in podcasting — from students who just want to understand more about this rapidly maturing medium to people with podcast ideas who’d like to jumpstart the creation of their own podcast by understanding the steps involved. This is an intro-level class, but taught by experts.
+ More
In this course, you will learn how to use the statistical computing and graphics language R to enhance your data analysis and reporting process. You’re going to dive right into dealing with the messy and disparate types of data that journalists regularly encounter.
+ More
In this course you will learn how to use visualization to discover trends and patterns in data, and also how to communicate with graphs, charts, and maps, both static and interactive. Alberto Cairo will teach you elementary principles of visualization design and visual narrative, and also how to apply them with free tools like INZight […]
+ More
In this course you will learn how journalists traditionally build trust with an audience, how today’s media environment changes the mechanics of trust and attention, and how to verify online content and forge trust with digital audiences.
+ More