2025 Fall
JOURN 221 001 - SEM 001
Introduction to Data Visualization
Intro to Visualizing Data
Jennifer Anne LaFleur
Class #:30918
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Graduate School of Journalism
Current Enrollment
Total Open Seats:
1
Enrolled: 24
Waitlisted: 0
Capacity: 25
Waitlist Max: 5
Open Reserved Seats:0
Course Materials Fees
Course Materials & Service Fee
Early Drop Deadline
Early drop deadline: second Friday after instruction begins.
Hours & Workload
6 hours of outside work hours per week, and 3 hours of student-instructor coverage of course materials per week.
Final Exam
THU, DECEMBER 18TH
07:00 pm - 10:00 pm
North Gate 106
Other classes by Jennifer Anne LaFleur
Course Catalog Description
This weekly three-hour course will explore the skills needed to find, clean, analyze and visualize data. The class consists of two hours of instruction and one hour of supervised lab time working on directed projects. Students will create a final project suitable for publication. The focus will be on free and open source tools that can immediately be applied to other projects and professional work.
Class Description
This is a course in finding and telling visual stories from data. We will cover fundamental principles of data analysis and visual presentation, chart types and when to use them, and how to acquire, process and “interview” data. We will make interactive and static charts and maps using free software. We will be making graphics by writing code, as well as using point-and-click software. The emphasis is on gaining practical skills that students can apply in a newsroom setting.
Rules & Requirements
Repeat Rules
Reserved Seats
Reserved Seating For This Term
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None