About this Course
3.6
355 ratings
131 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 23 hours to complete

Suggested: 9 weeks, 8-10 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 23 hours to complete

Suggested: 9 weeks, 8-10 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Basic Experiment Design Concepts

In this module, you will learn basic concepts relevant to the design and analysis of experiments, including mean comparisons, variance, statistical significance, practical significance, sampling, inclusion and exclusion criteria, and informed consent. You’ll also learn to think of an experiment in terms of its participants, apparatus, procedure, and design & analysis. This module covers lecture videos 1-2....
Reading
2 videos (Total 19 min), 1 reading, 1 quiz
Video2 videos
02. Basic Experiment Design Concepts8m
Reading1 reading
All Course Materials10m
Quiz1 practice exercise
Understanding the Basics16m
Week
2
Hours to complete
2 hours to complete

Tests of Proportions

In this module, you will learn how to analyze user preferences (or other tallies) using tests of proportions. You will also get up and running with R and RStudio. Topics covered include independent and dependent variables, variable types, exploratory data analysis, p-values, asymptotic tests, exact tests, one-sample tests, two-sample tests, Chi-Square test, G-test, Fisher’s exact test, binomial test, multinomial test, post hoc tests, and pairwise comparisons. This module covers lecture videos 3-9....
Reading
7 videos (Total 41 min), 2 quizzes
Video7 videos
04. Getting Started with R and RStudio2m
05. Exploring Data and a First Test of Proportions7m
06. Understanding and Reporting Your First Statistical Test5m
07. Exact Tests, Asymptotic Tests, and the Binomial Test2m
08. More One-Sample Tests of Proportions9m
09. Two-Sample Tests of Proportions11m
Quiz2 practice exercises
Understanding Tests of Proportions36m
Doing Tests of Proportions30m
Week
3
Hours to complete
1 hour to complete

The T-Test

In this module, you will learn how to design and analyze a simple website A/B test. Topics include measurement error, independent variables as factors, factor levels, between-subjects factors, within-subjects factors, dependent variables as responses, response types, balanced designs, and how to report a t-test. You will perform your first analysis of variance in the form of an independent-samples t-test. This module covers lecture videos 10-11....
Reading
2 videos (Total 25 min), 2 quizzes
Video2 videos
11. Analyzing a Simple A/B Test with a T-Test10m
Quiz2 practice exercises
Understanding Experiment Designs20m
Doing Independent-Samples T-Tests30m
Week
4
Hours to complete
2 hours to complete

Validity in Design and Analysis

In this module, you will learn about how to ensure that your data is valid through the design of experiments, and that your analyses are valid by understanding and testing for their assumptions. Topics include how to achieve experimental control, confounds, ecological validity, the three assumptions of ANOVA, data distributions, residuals, normality, homoscedasticity, parametric versus nonparametric tests, the Shapiro-Wilk test, the Kolmogorov-Smirnov test, Levene’s test, the Brown-Forsythe test, and the Mann-Whitney U test. This module covers lecture videos 12-15....
Reading
4 videos (Total 41 min), 2 quizzes
Video4 videos
13. Data Assumptions and Distributions14m
14. Testing for ANOVA Assumptions9m
15. Mann-Whitney, a Nonparametric T-Test2m
Quiz2 practice exercises
Understanding Validity24m
Doing Tests of Assumptions30m
3.6
Career direction

29%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course

Top Reviews

By DSJun 4th 2017

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!

By ZWJul 26th 2017

Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it

Instructors

Avatar

Scott Klemmer

Professor
Cognitive Science & Computer Science
Avatar

Jacob O. Wobbrock

Professor
The Information School

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

About the Interaction Design Specialization

You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design....
Interaction Design

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.