Business Analytics Capstone
本课程是商业分析专业的顶点实践课程，要求学生综合运用所学的数据分析、机器学习、可视化等知识，完成一个完整的商业分析项目。课程以团队为单位，与真实企业合作或基于真实商业数据集，从问题定义、数据获取、数据清洗、探索性分析、建模分析到方案呈现，全流程体验商业分析师的工作。课程强调沟通表达、团队协作和商业思维，最终以项目汇报和报告形式进行考核。
This capstone course integrates all knowledge acquired in the Business Analytics program into a complete business analytics project. Working in teams with real companies or real business datasets, students experience the full workflow of a business analyst from problem definition, data acquisition, cleaning, exploratory analysis, and modeling to presenting solutions. The course emphasizes communication, teamwork, and business thinking, with final evaluation through project presentations and reports.
团队合作完成一个真实企业的客户流失分析全流程项目。从业务问题出发，明确流失定义和分析目标；获取和整合多源客户数据（基本信息、交易记录、服务使用、客服交互等）；进行数据清洗和特征工程；使用机器学习建立客户流失预测模型，评估模型效果并进行模型解释；构建客户流失预警系统，设计分群挽留策略；制作交互式数据仪表盘，最终向企业方进行项目汇报并提交完整的分析报告和代码。
Complete a full-cycle customer churn analysis project for a real enterprise in teams. Start with business problem framing, defining churn and analysis objectives. Acquire and integrate multi-source customer data including profiles, transactions, service usage, and customer service interactions. Perform data cleaning and feature engineering. Build machine learning churn prediction models, evaluate performance, and conduct model interpretation. Develop a churn early warning system and design segmented retention strategies. Create an interactive dashboard, present to stakeholders, and submit a complete analysis report and codebase.