Data Analysis in UX Research
( 25 Modules )

Module #1
Introduction to Data Analysis in UX Research
Overview of the importance of data analysis in UX research, course objectives, and expected outcomes

Module #2
UX Research Fundamentals
Recap of UX research principles, methods, and best practices

Module #3
Data Analysis Concepts
Introduction to data analysis concepts, types of data, and data visualization

Module #4
Quantitative vs. Qualitative Data
Understanding the differences between quantitative and qualitative data and when to use each

Module #5
Data Collection Methods
Overview of data collection methods including surveys, interviews, usability testing, and analytics

Module #6
Data Preparation and Cleaning
Best practices for preparing and cleaning data for analysis

Module #7
Descriptive Statistics
Introduction to descriptive statistics, including measures of central tendency and variability

Module #8
Data Visualization
Introduction to data visualization principles and best practices

Module #9
Excel for Data Analysis
Using Excel for data analysis, including formulas, charts, and pivot tables

Module #10
Introduction to Statistical Significance
Understanding statistical significance, including hypothesis testing and p-values

Module #11
Confidence Intervals
Understanding confidence intervals and how to calculate them

Module #12
Correlation and Regression Analysis
Introduction to correlation and regression analysis, including scatter plots and regression equations

Module #13
Qualitative Data Analysis
Introduction to qualitative data analysis, including coding, themes, and pattern identification

Module #14
Content Analysis
Introduction to content analysis, including text analysis and sentiment analysis

Module #15
User Feedback Analysis
Analyzing user feedback, including feedback categorization and sentiment analysis

Module #16
A/B Testing and Experimentation
Introduction to A/B testing and experimentation, including test design and analysis

Module #17
Analytics Tools for UX Research
Overview of analytics tools, including Google Analytics, Mixpanel, andHeap

Module #18
Data Storytelling
Effective communication of data insights, including storytelling and presentation techniques

Module #19
UX Research Reporting
Best practices for creating UX research reports, including structure, content, and visual design

Module #20
Stakeholder Management
Effective communication of data insights to stakeholders, including presenting findings and recommendations

Module #21
Case Study:Quantitative Data Analysis
Real-world example of quantitative data analysis in UX research

Module #22
Case Study:Qualitative Data Analysis
Real-world example of qualitative data analysis in UX research

Module #23
Data Analysis Tools and Software
Overview of data analysis tools and software, including R, Python, and Tableau

Module #24
Data Analysis Best Practices
Best practices for data analysis in UX research, including data quality, bias, and ethics

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Analysis in UX Research career

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Data Analysis in UX Research ( 25 Modules )

Data Analysis in UX Research
( 25 Modules )