Analyzing Survey Data and Customer Feedback

Surveys are incredibly powerful tools for gathering feedback, but raw responses can be overwhelming to process. Transforming unstructured comments and numerical ratings into clear, actionable insights is a critical skill for any professional. This text-based course guides you through the entire survey analysis pipeline, from understanding core survey methodology and cleaning messy data to generating professional reports. You will learn how to categorize open-ended responses, calculate key metrics like Net Promoter Score (NPS), and present your findings clearly to stakeholders. What you'll learn: 1. Understand foundational survey design principles and key response metrics. 2. Clean and organize raw survey data using structured data practices. 3. Analyze quantitative ratings and calculate customer satisfaction metrics. 4. Categorize and extract themes from qualitative, open-ended feedback. 5. Apply basic sentiment analysis concepts to understand customer emotion. 6. Create clear, structured written reports that highlight key takeaways. The course begins with essential terminology and foundational concepts of data collection, then moves step-by-step through data preparation, analysis techniques, and modern reporting frameworks. It is designed entirely for beginners, with no prior statistical background or advanced technical skills required. Start reading today to turn raw feedback into structured, impactful business intelligence.