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.
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귀하가 습득할 기술
- 5 stars40.03%
- 4 stars19.93%
- 3 stars14.33%
- 2 stars9.26%
- 1 star16.43%
DESIGNING, RUNNING, AND ANALYZING EXPERIMENTS의 최상위 리뷰
Very good course! A comprehensive overview on how to conduct experiments and various analyses. Very helpful for my PhD research!
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.
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.
THE best course in the interaction design specialization. Not even kidding. Try for yourself.
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