You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs.
This course is part of the Interaction Design Specialization
About this Course
Skills you will gain
- Experimental Design
- Statistical Model
- R Programming
Syllabus - What you will learn from this course
Basic Experiment Design Concepts
Tests of Proportions
Validity in Design and Analysis
- 5 stars40.24%
- 4 stars19.86%
- 3 stars14.28%
- 2 stars9.23%
- 1 star16.37%
TOP REVIEWS FROM DESIGNING, RUNNING, AND ANALYZING EXPERIMENTS
Without any background in R programming and experiment design, I am able to learn a lot of useful stuff in this course. I wish the last three lessons and quizzes are a little more beginner friendly.
Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it
This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!
Very good course! A comprehensive overview on how to conduct experiments and various analyses. Very helpful for my PhD research!
About the Interaction Design Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.