Conversion Rate Optimization: Analysis, Hypotheses and Testing
Course content
Course overview
This course on “Conversion Rate Optimization: Analysis, Hypotheses and Testing” connects essential concepts to practical applications. It helps you build a structured understanding of the subject and choose an approach suited to the situations covered.
Skills and topics covered
• user journeys and metrics
• analyzing conversion barriers
• forming and prioritizing hypotheses
• testing and interpreting results
Who is this course for?
Marketers, web analysts and website managers who want to measure and interpret digital performance.
Prerequisites
Basic website and marketing metric knowledge. Access to data or a demonstration environment is helpful.
How you will learn
Move from a clear question to a structured analysis: inspect data, check quality, apply the methods and interpret results. Give reasoning and assumptions as much attention as tools. Exercises connect findings to their context.
After completing the course
You will be able to explain the methods, organize a similar analysis and present conclusions with their limitations. You will have a framework for checking data, choosing metrics and interpreting findings.
Course content
The detailed programme will be published soon.
About the author
AI Skills Academy teaching team
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Refund terms: confirm with the centre.
Totals include a base declared by the training center.