Quant UX Training

Data Visualization for Communicating Research Findings
Instructor: Kerry Rodden, PhD; Co-author Quantitative User Experience Research (Springer)
February 2-5, 2026 at Fort Mason Center (9:30a-12:30p daily)

This hands-on workshop teaches researchers how to transform analysis results into clear, compelling visualizations that communicate effectively to stakeholders. Participants will learn to use ggplot in R or Python to create polished explanatory charts for presentations and reports. 

We'll cover essential chart types including bar charts, scatterplots, line charts, and choropleth maps, effective use of color and text, and storytelling techniques that help audiences understand and act on research findings. Through practical exercises with real datasets, participants will gain experience moving from exploratory analysis to presentation-ready visualizations that convey clear takeaways.

Prerequisites: This course uses the ggplot2 package and assumes basic familiarity with data manipulation in either R or Python. (Python users may access ggplot functions using the Plotnine library.) Experience with ggplot2 is helpful but not required; we teach the fundamentals and build from there. This workshop is for any UX researcher, survey specialist, marketing researcher, or other professional who needs to communicate quantitative research findings to diverse audiences. 

Not an R or Python user? The fundamentals and approaches in this course apply to data visualization with any platform. Or see below for a free introductory class on data handling in R, which covers the prerequisite for this course.

Early Bird Registration is $875 until December 15, 2025  (will be $995 after December 15).  See the note at the bottom of this page for additional discounts for non-profits, universities, or attendees who are not working.

To register, visit the Data Visualization Class on TicketStripe. This is a live event in San Francisco.

Instructor: Chris Chapman, Co-author, R for Marketing Research and Analytics (Springer, 2019)
January 22, 2026 as an online webinar (10:00am-12:00pm Pacific Time)

Prepare for the Data Visualization course! This webinar is primarily for attendees of the Data Visualization class in San Francisco. It covers the basics of R that are prerequisites for the data visualization course (and is not required for that course if you already know R or Python). 

Additional seats in this webinar are open to anyone else who is interested to learn the basics of R. You may attend live or watch the recorded session afterward.

Topics: basics of the R environment, loading data into R from CSV and XLSX files, and data handling.
Cost: Free. Limited seats are prioritized for attendees of the Data Visualization live course above.
Details and registration: visit Introduction to Data Handling in R. This event is hosted on the RingCentral Events webinar platform.

Conjoint Analysis and MaxDiff Methods to Prioritize Customer Needs
Instructor: Chris Chapman PhD, President, Quant UX Association; Chair, Quant UX Con
January 26-29, 2026 at Fort Mason Center (9:30a-12:30p daily)

In this in-person course, you’ll learn hands-on how to run effective Choice-Based Conjoint Analysis and MaxDiff surveys. The 4 day workshop provides a complete and practical introduction to choice modeling surveys for industry researchers. You will design, author, field, analyze, and interpret results from both Choice-Based Conjoint and MaxDiff surveys using live data. 

Early Bird Registration is $950 until December 8, 2025  (will be $1150 after December 15). See the note at the bottom of this page for additional discounts for non-profits, universities, or attendees who are not working.

For full details, see the Choice Modeling Master Class Description (Note: not available virtually.) 
To register, visit Choice Modeling Master Class on TicketStripe. This is a live event in San Francisco.