BDA401 Methodologies and Model Building in Data Analytics
[3–0, 3 cr.]
In this course students will be introduced to a variety of predictive and prescriptive analytics tools. In this context students will explore the common pitfalls in interpreting results from data driven models, especially those associated with big data and real-time streaming data. Collectively, this course will help students internalize a core set of practical and effective machine learning methods and concepts and apply them to solve some real-world problems.
Pre-requisites: BDA211 Introduction to Applied Data Analytics