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Fundamentals of Data Analytics

Data analytics is the art and science of teasing meaningful information and patterns out of large quantities of data. It combines statistical methods for identifying patterns in data and making inferences with a number of IT technologies, including database technologies for handling massive volumes of data, intelligent and smart systems technologies, visualisation and other multimedia techniques that appeal to human pattern discovery capabilities. The subject offers broad background to data analytics and data mining methods and their application in practice. It brings together the state-of-the-art research and practice in related areas and provides students with the necessary knowledge and capacity to initiate and lead data analytics projects that can turn company data into commercially valuable information. 数据分析是从大量数据中挑选有意义的信息和模式的艺术和科学。它结合了用于识别数据模式的统计方法，并与许多IT技术进行推断，包括用于处理大量数据的数据库技术，智能和智能系统技术，可视化以及其他适用于人类模式发现功能的多媒体技术。该主题为数据分析和数据挖掘方法及其在实践中的应用提供了广泛的背景。它汇集了相关领域的最新研究和实践，并为学生提供必要的知识和能力，以启动和领导数据分析项目，从而将公司数据转化为具有商业价值的信息。