Transform your product analytics capability with advanced user segmentation and retention optimization techniques. This course empowers data analysts to move beyond surface-level metrics to uncover deep behavioral patterns that drive product success.
Analyze Users & Optimize Product Retention
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Analyze Users & Optimize Product Retention
This course is part of multiple programs.
Instructor: Hurix Digital
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Clustering-based user segmentation uncovers behavior patterns for better personalization and targeting.
Retention methods shape insights—choosing the right one ensures accurate product health assessment.
Identifying power users enables better retention, feature design, and lifetime value growth.
Clear communication and documentation turn technical analysis into actionable, team-wide impact.
Skills you'll gain
- Data Presentation
- Advanced Analytics
- Customer Retention
- Customer Analysis
- Product Strategy
- Data Analysis
- Technical Documentation
- Product Management
- Unsupervised Learning
- Data Preprocessing
- Machine Learning Algorithms
- Data Storytelling
- Strategic Decision-Making
- Applied Machine Learning
- Customer Insights
- Data-Driven Decision-Making
- Marketing Analytics
- Performance Measurement
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Taught in English
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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
Learners will master k-means clustering implementation using scikit-learn to segment users based on RFM variables, enabling them to create data-driven user profiles that inform product strategy and targeted interventions.
What's included
1 video2 readings2 assignments
Learners will analyze different retention calculation methodologies, understand their strategic implications, and create technical recommendations that guide data-driven retention strategy decisions in product analytics contexts.
What's included
2 videos1 reading3 assignments
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Frequently asked questions
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