Enhancing Data Science Proficiency for Engineering Students: Strategies for Success

One of the biggest hurdles when educating students in data science is overcoming narrow views of what data is and what data can be. In this session, Prof. Lee Wells from Western Michigan University demonstrates an activity that he uses in the first lecture of his data mining course. The goal of this activity is to provide a fun and thought-provoking experience that exposes students to data not traditionally discussed in engineering curricula and have them begin thinking about data differently. At the same time, this activity serves the purpose of introducing students to RapidMiner and some of its fundamental uses.

Presented by Prof. Lee Wells I Western Michigan University, at Altair Data Science Day 2023. 15 Minutes.