1. Students will demonstrate knowledge of several advanced data analytics techniques in the areas that include: Text and Web mining (i.e., extension of traditional data mining approached to unstructured data, such as text);
Temporal data analytics (i.e., analysis of time-dependent or time-varying data);
Advanced data visualization (i.e., interactive techniques for discovering patterns and relationships in large-scale data).
2. Students will demonstrate competence in applying the advanced business intelligence techniques to real-world problems.
3. Students will understand the benefits of advanced business intelligence and data analytics techniques for modern organizations.