The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and data management. This course will introduce key concepts and techniques in data mining, including specific algorithms and techniques for classification, regression, association analysis, clustering, outlier detection, etc. By taking this course, you will be given a broad view of the general data mining algorithms as well as their applications in business. At a practical level you will have the chance to explore an assortment of data mining techniques which you will apply to problems involving real-world data.