One of the largest challenges the human race faces at present is finding and using alternative power sources. Quickly increasing volumes of knowledge from all areas of society are becoming obtainable in digital form. High worth data and knowledge is embedded in lots of of these knowledge volumes. Unlocking this data can present many benefits, and can also raise ethical questions in certain circumstances. This course provides college students with a arms-on introduction to how interactive knowledge exploration and data mining software program can be utilized for knowledge-driven data discovery, together with domains equivalent to business, environmental management, healthcare, finance, and transportation. Knowledge mining techniques and their software to giant information units will probably be discussed intimately, including classification, clustering, association rule mining, and anomaly detection. As well as, students will study the importance of applying information visualization practices to facilitate exploratory information analysis.