Our Purdue Online team has been directed to continue to work remotely. We regret that this may cause some delay in our shipping and response time. You can still reach us at 765-494-0959 and firstname.lastname@example.org
. We appreciate your patience and understanding, and we will do our very best to offer quality, timely service to you.
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.