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Product Analytics Unlocked: Metrics to Meaningful Insight 专项课程

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Coursera

Product Analytics Unlocked: Metrics to Meaningful Insight 专项课程

Build Product Analytics for Data-Driven Growth.

Transform user behavior data into strategic business decision that drive measurable product success.

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4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Build scalable SQL data pipelines that transform millions of product events into optimized analytical datasets for business intelligence.

  • Apply advanced statistical techniques including clustering algorithms, A/B testing, and survival analysis for user segmentation and retention.

  • Design interactive dashboards and diagnostic frameworks that identify funnel bottlenecks and communicate performance insights effectively

  • Develop strategic prioritization skills using RICE methodology and data storytelling to influence product roadmaps and business decisions.

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授课语言:英语(English)
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March 2026

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专业化 - 4门课程系列

您将学到什么

  • Build scalable data pipelines using SQL and Pandas to transform 10+ million rows of raw event data into structured analytics datasets.

  • Design and optimize star schemas with Type-2 slowly changing dimensions to track historical changes in product analytics data.

  • Compare and implement advanced SQL window functions across different dialects like Presto and Spark for cross-platform compatibility.

  • Evaluate existing data warehouse schemas and propose performance refinements using aggregation techniques and indexing strategies.

您将获得的技能

类别:Data Warehousing
类别:SQL
类别:Data Validation
类别:Star Schema
类别:Database Design
类别:Performance Analysis
类别:Data Manipulation
类别:Big Data
类别:Real Time Data
类别:Extract, Transform, Load
类别:Pandas (Python Package)
类别:Time Series Analysis and Forecasting
类别:Apache Airflow
类别:JSON
类别:Data Transformation
类别:Performance Tuning
类别:Data Quality
类别:Data Pipelines

您将学到什么

  • Apply k-means clustering to segment users and create actionable profiles that inform targeted marketing strategies and product decisions.

  • Design A/B tests with proper power analysis and identify common biases that can invalidate experimental results and business insights.

  • Calculate and compare N-day vs rolling retention metrics to evaluate user engagement and distinguish between seasonal and churn patterns.

  • Build Kaplan-Meier survival curves to analyze retention across user groups and determine statistical significance of differences.

您将获得的技能

类别:Sample Size Determination
类别:Performance Measurement
类别:Data-Driven Decision-Making
类别:User Research
类别:Product Management
类别:Customer Analysis
类别:Strategic Decision-Making
类别:Customer Retention
类别:Marketing Analytics
类别:Analysis
类别:Statistical Analysis
类别:Customer Insights
类别:Analytics
类别:Scikit Learn (Machine Learning Library)
类别:Statistical Inference
类别:Business Intelligence
类别:Algorithms
类别:Trend Analysis
类别:Unsupervised Learning

您将学到什么

  • Build interactive dashboards that translate business KPI requests into self-service analytics tools with drill-through functionality.

  • Create retention heatmaps with event annotations and evaluate visualizations for accessibility and clarity improvements.

  • Design optimized user activation funnels by selecting critical events and identifying process redundancies for consolidation.

  • Apply statistical methods to analyze engagement metrics and validate predictive relationships between activation and retention.

您将获得的技能

类别:Requirements Analysis
类别:Web Analytics
类别:Interactive Data Visualization
类别:Customer Retention
类别:Business Requirements
类别:Marketing Analytics
类别:Predictive Analytics
类别:Process Design
类别:Business Analytics
类别:Key Performance Indicators (KPIs)
类别:Statistical Analysis
类别:Process Analysis
类别:Data Visualization
类别:Customer Insights
类别:Customer Analysis
类别:Heat Maps
类别:Performance Metric
类别:Dashboard
类别:Process Optimization
类别:Analytics

您将学到什么

  • Design tracking systems by translating product features into event schemas and diagnose funnel regressions to pinpoint user drop-off causes.

  • Apply RICE prioritization framework to evaluate features and create decision memos linking data trends to strategic roadmap recommendations.

  • Analyze churn logs to identify attrition root causes and establish success criteria with counter-metrics for new product features.

  • Build predictive models using decision trees and logistic regression, then present insights using structured data storytelling frameworks.

您将获得的技能

类别:Resource Allocation
类别:Customer Analysis
类别:Data Capture
类别:Predictive Modeling
类别:Performance Analysis
类别:Prioritization
类别:User Flows
类别:Performance Metric
类别:Web Analytics
类别:Forecasting
类别:Product Management
类别:Data Storytelling
类别:Statistical Methods
类别:Data-Driven Decision-Making
类别:Customer Retention
类别:Product Roadmaps
类别:Analytics
类别:Strategic Prioritization
类别:Root Cause Analysis
类别:Business Analytics

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