Data Analytics Courses

BDA211 Introduction to Applied Data Analytics

[3–0, 3 cr.]

This course introduces students to the fundamentals of descriptive analytics highlighting the broader issues relating to framing problems and identifying key performance measures.

BDA311 Data Driven Design Thinking

[3–0, 3 cr.]

This course introduces students to the iterative problem-solving process of discovery, ideation, and experimentation to gain insight and yield innovative solutions for virtually any type of organizational or business challenge.

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