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.
- 5 stars40.03%
- 4 stars19.93%
- 3 stars14.33%
- 2 stars9.26%
- 1 star16.43%
Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it
Really great course on statistical tests for experiments. The long quizzes are a little annoying, but helpful in the end.
Great module but it was very difficult for me as I am a 'non-coder' and R Studio was at times very buggy, so my suggestion is to structure the course differently.
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!