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The course "Industrial Statistics with Application in R" typically focuses to introduce the application of statistical methods in industrial problem-solving, to provide hands-on experience using R for industrial data analysis and to bridge theoretical statistics with real-world industrial applications. In addition, the course emphasizes data-driven decision-making in manufacturing and service industries, covering topics such as quality control, process optimization, reliability analysis, and experimental design. Learners gain practical exposure to analyzing real industrial datasets, interpreting statistical results, and presenting insights effectively. The course also aims to develop problem-solving skills and statistical thinking required to address complex industrial challenges using modern computational tools.