Exploring How Different Project Management Methodologies Impact Data Science Students
نویسندگان
چکیده
This paper reports on a controlled experiment comparing different approaches on how to guide students through a semester long data science project. Four different methodologies, ranging from a traditional “just assign some intermediate milestones” to other more agile methodologies, are compared. The results of the experiment shows that the project methodology used in the classroom made a significant difference in student outcomes. Surprisingly, an Agile Kanban approach was found to be much more effective than an Agile Scrum methodology, which was not one of the leading ap-proaches.
منابع مشابه
Comparing Data Science Project Management Methodologies via a Controlled Experiment
Data Science is an emerging field with a significant research focus on improving the techniques available to analyze data. However, there has been much less focus on how people should work together on a data science project. In this paper, we report on the results of an experiment comparing four different methodologies to manage and coordinate a data science project. We first introduce a model ...
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