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Intro to R for UX Researchers

4.6 (8)

4 Days

Cohort-based Course

In less than a week, level up your UX Research data analysis toolkit by mastering coding in R!

Intro to R for UX Researchers

4.6 (8)

4 Days

Cohort-based Course

In less than a week, level up your UX Research data analysis toolkit by mastering coding in R!

Hosted by

Alex Leavitt, PhD (they/them)

Social scientist from Meta, PlayStation, Disney, & Microsoft Research

Alex Leavitt, PhD (they/them)

Social scientist from Meta, PlayStation, Disney, & Microsoft Research

Course overview

Learn the fundamentals of coding in R to improve data analysis for UX Research

This three-day course is your chance to expand your data analysis toolkit and master statistical analysis, visualization, and storytelling techniques for UX Research with the R programming language.

There are ZERO prerequisites (besides installing a bit of software), and the class is available for anyone to join, from junior to senior researchers, as well as non-researchers like PMs, designers, data scientists, etc.

"Intro to R" takes place over a 10-hour curriculum: three 3-hour days, plus one 1-hour optional first orientation day. There are two planned schedules for this course: one during the week, and one across weekends. If the timing of available classes does not fit your calendar, keep an eye out for future cohorts and their respective timing.

Intro to R is part of the User Research Fundamentals curriculum, a course series covering qualitative and quantitative UX Research methods, as well as strategic and foundational UX Research topics. Please fill out a brief survey of your interest in additional courses here: https://maven.com/forms/a713e4

Who is this course for

Junior & Senior Quantitative UX Researchers

Master coding in R to level up your quantitative analysis toolkit and move beyond SPSS or STATA

Mixed Methods & Qualitative UX Researchers

Improve your research expertise with R programming and learn to collaborate with quants

Non-UXRs (PMs, Data Scientists, et al.)

Expand your collaborative potential with basic data analysis skills to apply to product & strategy

Junior & Senior Quantitative UX Researchers

Master coding in R to level up your quantitative analysis toolkit and move beyond SPSS or STATA

Mixed Methods & Qualitative UX Researchers

Improve your research expertise with R programming and learn to collaborate with quants

Non-UXRs (PMs, Data Scientists, et al.)

Expand your collaborative potential with basic data analysis skills to apply to product & strategy

What you’ll get out of this course

Improve your data analysis tookit

Learning the basics of R and level up from Excel, STATA, SPSS, or other data analysis programs

Discover how to apply R to UX Research

Apply your research mindset to data analysis of surveys, usability studies, content labeling exercises, and text documents

Gain key skills in data analysis & visualization

Adapt your storytelling techniques with new frameworks for data summarization, visualization, and storytelling

What people are saying

I took Alex's courses early in my UX Research career, up-leveling my coding skills at the get go and ensuring I had reproducible code ready to use for many projects to come. Their interactive, practical style allowed me to write code for projects I was working on at the time, making the course worthwhile in the short term and for the long run too.

Dina Dajani

Mixed Methods UX Research Lead (Cognito Therapeutics, Inc.)

Alex’s course enabled me to begin coding after just one session, and it provided me with the requisite comfort, excitement, and skillset to independently conduct analyses and better recruit participants for my qual studies. Alex broke down complex problems into simple and digestible hands-on lessons, which enabled me the confidence to code!

Niki Ramchandani

Senior Emerging Markets Qualitative Researcher (Meta)

I highly recommend this course for anyone looking to enhance their data analysis skills with R. The hands-on exercises help you learn how to crunch and analyze complex data, and then visualize and tell compelling stories with it. A must-have for anyone on the path to becoming a data pro!

Saeideh Bakhshi

UX Research & Strategy Lead (Google)

This course taught me so much in a short amount of time. I'm a qual researcher, and Alex enabled me to identify places to partner with quant UXRs and data scientists, as well as understand how to triangulate data for a more powerful narrative. I started with really basic coding which I leveraged to explore data on my own and recruit for studies.

Kate Zyskowski

Research Manager (Instacart)

Alex's thoughtfully-organized course materials and patient teaching style helped me quickly get started with reproducible analysis in R, building on my substantial expertise in Stata. I still reference the research methods materials Alex put together regularly when I need a reminder on a specific topic or to remember something to share with others.

Anne Kaduk

Staff Quantitative UX Researcher (Meta)

R programming has become a core skill for most industry researchers. If you want to start mastering R, you should take this course. You'll be introduced to all the essential components necessary to understand how R works. Alex's knowledge on how to use R in the industry is unique, and you should definitely take this opportunity to learn from them.

Andre L Souza

Senior UX Researcher (Meta)

I have sent numerous researchers from my teams to Alex’s R course; it's extensive, thoughtfully curated, and provided the necessary training to my researchers to get the maximum impact from their data. It builds a necessary foundation for newer quant researchers and sharpens the toolbox of established researchers. I highly recommend Alex’s course.

Apala Sabde

Head of Research (Meta)

Meet your instructor

Alex Leavitt, PhD (they/them)

UX Research Expert

Alex is a global leader and expert in UX Research, particularly for Trust & Safety topics in the social media and emerging technology industries.

After 7 years at Meta leading mixed-methods research spanning massive global surveys, complex experiments, and in-depth qualitative fieldwork, Alex is bringing lessons and insights from Big Tech back out to the public to help you improve your research prowess, confidence, and skills.

Alex holds a PhD in Communication from the Annenberg School for Communication & Journalism at the University of Southern California.

Learn more about their work at http://linkedin.com/in/alexleavitt

Course syllabus

Day 0

First, we'll have an optional session to get your computer set up in R and RStudio.

Day 1

Then, we'll dive right into R to teach you the basics of the coding language, functions, data types, and packages.

Day 2

Next, we'll focus on applying your new knowledge to conducting exploratory data analysis, generating descriptive statistics, and running basic statistical analyses with numerical, categorical, and textual data.

Day 3

Finally, we'll jump into data summarization and visualization, where you'll learn how to concisely and beautifully model, export, and present your data analysis to stakeholders.

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