JRNL 315 Data Journalism

Data journalism is one of the fastest-growing areas in the journalism profession, and it requires quantitative, analytical, and technical skills in addition to traditional reporting and writing. This course will acquaint you with the basics of acquiring, cleaning, analyzing, visualizing, and interpreting information in tabular form—rows and columns. In addition, you will learn how to find data to tell stories and how to find stories in data. By the end of the semester, you will improve your understanding of numbers and quantification, as well as master tools and frameworks for presenting data stories to audiences.

Credit 3 hrs May not be repeated for additional credit
Grade Mode Normal (A-F) Course Rotation Fall, Winter, and Summer (in-person)

Prerequisites - JRNL 215
Restriction by Major -
Restriction by Class - Sophomore standing or above

Equivalent Course(s) -
Course History -
New Course 4/2023, effective Fall 2023

Journalism

Winter 2025 Course Sections

Fall 2024 Course Sections