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Designing, Running, and Analyzing Experiments

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-cent...
3.6
3.6/5
(540 reviews)
27,059 students
Created by

7.7

Classbaze Grade®

N/A

Freshness

6.3

Popularity

8.7

Material

Designing
Platform: Coursera
Video: 4h 49m
Language: English

Best Design and Product classes:

Classbaze Rating

Classbaze Grade®

7.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

6.3 / 10
We analyzed factors such as the rating (3.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.7 / 10
Video Score: 8.3 / 10
The course includes 4h 49m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 15 minutes of 77 Design and Product courses on Coursera.
Detail Score: 7.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

1 articles.
0 resource.
0 exercise.
1 tests or quizzes.

In this page

About the course

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.

What can you learn from this course?

What you need to start the course?

Basic knowledge of Design and Product is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Designing, Running, and Analyzing Experiments ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Will I be refunded if I'm not satisfied with the Designing, Running, and Analyzing Experiments course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Scott Klemmer?

Scott Klemmer has created 8 courses that got 38 reviews which are generally positive. Scott Klemmer has taught 190,319 students and received a 3.97 average review out of 38 reviews. Depending on the information available, we think that Scott Klemmer is an instructor that you can trust.
Cognitive Science & Computer Science
University of California San Diego
Scott is a Professor of
Cognitive Science and
Computer Science & Engineering at UC San Diego, where he is a co-founder and Associate Director of the Design Lab. Before joining UCSD, he was an Associate Professor of
Computer Science at Stanford University, where he co-directed the
Human-Computer Interaction Group and held the Bredt Faculty Scholar development chair. Organizations around the world use his lab’s open-source design tools and curricula; several
books and popular press articles have covered his research and teaching. He helped introduce
peer assessment to open online education, and taught the first
peer-assessed online course. He has been awarded the
Katayanagi Emerging Leadership Prize,
Sloan Fellowship,
NSF CAREER award, and
Microsoft Research New Faculty Fellowship. He has authored and co-authored more than 40 peer-reviewed articles; eight were awarded best paper or honorable mention at the premier HCI conferences (
CHI/
UIST/
CSCW). His former graduate students are leading
profe
ssors,
resear
chers,
fo
un
de
rs,
social entrepreneurs, and
engineers. He has a dual BA in
Art-Semiotics and
Computer Science from Brown University,
Graphic Design work at RISD, and an MS and PhD in
Computer Science from UC Berkeley. He serves on the editorial board of
TOCHI and
HCI, co-chaired the
UIST?2011 program, co-chaired the
CHI?2010 systems area, and has served on advisory boards for
academic
programs,
research labs, and
startups passionate about interaction design.

7.7

Classbaze Grade®

N/A

Freshness

6.3

Popularity

8.7

Material

Platform: Coursera
Video: 4h 49m
Language: English

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