UX Data Analysis

About

Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle in UX, from qualitative user research and quantitative user testing data analysis to big data Web analytics.

You will be able to leverage insights from this data to make empirically-based recommendations towards frictionless, optimal user experiences.

Taught by award-winning faculty members, this course is an introduction to the statistical methods and tools useful to UX data analysis. No need to be a math whiz, this course was designed to be accessible to everyone.

No previous stats knowledge is needed. You will need to use MS Excel to do the final exam and complete the certification. Join us in the journey to unlock the insights of UX data, through the UX Design and Evaluation MicroMasters, or as an individual course.

What you will learn

• Descriptive Statistics
• Study Design
• Bias Sources
• Hypothesis Testing
• Means of Comparison
• Two-Way ANOVA
• Applying it all to UX

Skills you learn

• Research
• Data Analysis
• Data Science
• Big Data
• User Research
• User Experience Design (UX)
• Statistical Methods
• Microsoft Excel
• Qualitative Data Analysis
• Qualitative Research
• Usability Testing
• User Experience
• Web Analytics

Auto Summary

Unlock the power of data with the "UX Data Analysis" course, designed for IT and Computer Science enthusiasts. This course, offered by edX, empowers you to become a UX data scientist by mastering the art of analyzing both qualitative and big data web analytics. You will learn how to derive meaningful insights from data to make informed recommendations that enhance user experiences. With a comprehensive 10-week duration, the course is suitable for individuals at the awareness level, making it accessible for beginners keen to delve into UX data science. Choose from flexible subscription options, including Starter and Professional, to tailor your learning experience. Ideal for aspiring data scientists and UX professionals, this course will equip you with the skills to leverage data effectively in the digital age.