2025 Fall JOURN 221 001 SEM 001

2025 Fall

JOURN 221 001 - SEM 001

Introduction to Data Visualization

Intro to Visualizing Data

Jennifer Anne LaFleur

Aug 27, 2025 - Dec 12, 2025
We
09:00 am - 11:59 am
Class #:30918
Units: 3

Instruction Mode: In-Person Instruction

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections

None