This course will introduce the students to a diverse collection of big data techniques. These techniques are often aimed at identifying and quantifying various structures in the data (e.g., What are the key similarities between certain business units with respect to customer satisfaction? What are the characteristics of important customer segments?). Model validation and effective communication of model-based results will be stressed. The course will employ a "white-box" methodology, which emphasizes an understanding of the algorithmic and statistical model structures.