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Evaluate and Explain Retention Curves
Coursera
Course
Unknown

Evaluate and Explain Retention Curves

Coursera

Learn to select retention metrics and apply statistical survival analysis to derive actionable user insights and improve product strategies.

Unknown2 weeksEnglish

About this Course

User retention is the difference between thriving products and those that fade into obscurity. Yet 73% of product teams struggle to choose the right retention metrics, leading to misguided strategies and missed opportunities. This Short Course was created to help data analysis professionals master the critical distinction between retention measurement approaches and apply survival analysis to uncover actionable user insights. This course is unique because it bridges the gap between statistical theory and practical product analytics, providing hands-on experience with R-based survival analysis that you can immediately apply to real user datasets. To be successful in this project, you should have a background in basic data analysis and familiarity with statistical concepts

What You'll Learn

  • Select appropriate retention metrics to interpret user behavior patterns
  • Apply survival analysis to compare retention and guide optimization
  • Perform significance testing to ensure reliable retention insights
  • Visualize survival curves for clear data communication

Prerequisites

  • Basic familiarity with statistical analysis and data concepts
  • Readiness to engage in applied exercises or case-based work

Instructors

H

Hurix Digital

Topics

Math and Logic
Data Analysis
Data Science
Customer Engagement
Statistical Analysis
Statistics
Statistical Methods
Trend Analysis
Analytics
Performance Metric

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الرياضيات والمنطق
تحليل البيانات
علوم البيانات
تفاعل العملاء
التحليل الإحصائي
الإحصاء
الطرق الإحصائية
تحليل الاتجاهات
Analytics
Performance Metric

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