Data Science Teamwork in Practice

3 credits · Graduate School

Students will work in small groups to engage in real world problems, and apply their skills in a supervised environment where active learning is reinforced, and learn to make practical decisions. First students will learn how to process data, generate analysis reports and data summaries. Data will come from many sources, e.g. Kaggle competitions, VU/VUMC labs, and online documented data sets. Students will experience a goal-oriented teamwork environment and learn how to participate and support teams as the primary data curator and data analyst. [3]