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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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R数据分析与可视化训练营实战篇:综合案例分析

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。

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What you'll learn

  • data import and cleaning techniques
  • descriptive statistical analysis
  • data visualization methods
  • logistic regression modeling
  • time series analysis using ARIMA
Data Analysis #data visualization #statistical analysis #data analysis #data cleaning #time series analysis #arima #customer behavior #logistic regression #environmental data #pollution analysis #bank marketing
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