R数据分析与可视化训练营实战篇:综合案例分析
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About this course
本课程旨在通过一系列实际案例，帮助学员掌握数据分析的完整流程。本章涵盖了从数据导入、清洗到统计分析和建模的多种技术，具体通过四个案例进行实践：在线零售数据分析：通过描述性统计分析和数据可视化，探索客户购买行为和销售趋势。空气污染与气象因素分析：通过污染物和气象因素的关系分析，帮助学员理解环境数据的处理与分析方法。银行营销效果分析与预测：基于银行营销数据，运用逻辑回归模型预测客户行为。股票价格预测：利用ARIMA模型预测未来股价走势，展示时间序列数据分析的应用。本章不仅注重理论分析，更通过实际操作加深学员对数据处理、建模、评估与预测技术的理解，为学员提供全面的实战经验。
What you'll learn
- data import and cleaning techniques
- descriptive statistical analysis
- data visualization methods
- logistic regression modeling
- time series analysis using ARIMA
Skills you'll gain
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