Data Mining provides students with an overview of data mining, with an emphasis on using data mining as an effective problem-solving strategy. The course explores the statistical techniques behind a wide range of data mining tools. Students also gain hands-on experience using various software packages such as Microsoft Excel or XLMiner, or open-source programming languages, such as Python or R, to solve case problems. The course covers several key data mining topics, including the use of data mining, data mining algorithms, associative and sequential patterns, data clustering, data cleaning, and data visualization.