Building a Customer Feedback Analyzer
Analyze Customer Feedback with Python, AI, and Sentiment Analysis
Created by DataLab, Bernd Schrooten
Unlock the power of customer feedback by learning how to analyze large volumes of text data using Python and AI. Discover how to extract meaningful insights, measure sentiment, and visualize trends to support smarter business decisions. Gain practical skills that make feedback analysis faster and more accurate.
DataLab | Mar 2025 | 28 min
What You Will Learn
You will follow a hands-on, step-by-step process to build a feedback analysis tool using real-world data. By working directly with Python libraries and AI models, you'll practice sentiment analysis, topic modeling, and data visualization. Clear guidance ensures you can apply each technique confidently, even if you're new to the field.
Key Features
- Analyze customer feedback with Python and AI to uncover actionable insights
- Measure sentiment and calculate Net Promoter Score for better business decisions
- Automate text analysis and visualize results for efficient reporting
Target Audience
Perfect for beginners in data analysis or business intelligence, especially those in marketing or customer experience roles. If you want to use Python and AI to better understand customer feedback and make data-driven decisions, this course is for you. A basic familiarity with Python is helpful, but no advanced programming or AI experience is needed.
