3credit hoursPrerequisite: DATA 6320 with C (2.0) or better. Cases that integrate innovative data science techniques from various real-world problems and scenarios. Topics may include supervised and unsupervised learning, NLP, databases, SQL, NoSQL, cloud computing, and data ethics.