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Course Description

Summary

This class will cover the methods used to gather, clean, normalize, visualize, and analyze quantitative data to inform decision making in multiple fields of study. We will use spreadsheets, SQL and Python to work on real-world datasets using a combination of procedural and basic machine-learning algorithms. Students will also learn to ask good, exploratory questions and develop metrics to come up with a well thought-out analysis through work on collaborative, practical projects. This course is offered as part of a collaborative project with Google to expand access to computer science curriculum at small colleges and universities.