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Introduction to Data Science
This course provides a broad introduction to data analysis and modeling and is normally offered to undergraduate engineering majors. Topics covered include: How do I tell whether data follows a pattern? How do I answer questions about my data? What questions should I be asking in the first place? How can I visualize my data? Prof. Kulkarni takes a problem-focused approach to the material, looking at how to use data analysis and modeling algorithms, such as clustering, regression, hypothesis testing, etc., to solve interesting engineering problems. The course uses Python to teach how to write these analyses. There are programming assignments (in Python) during the first part of the course to explore concepts, followed by an end-of-semester mini-project where the students tackle a larger analysis and modeling problem.
Registration in this course is subject to the Purdue Online Non-Credit Policies.
No sections currently available.