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Course Description

Data exploration and preparation. Purpose of modeling, prediction vs. description. Modeling algorithms. Data visualization and recording. Real world examples, possibly including internet of things, monitoring failure onset in machinery. Student project. 

This is an online/virtual synchronous course that follows the published schedule of course meetings and requires attendance at all sessions. Tufts virtual courses are designed to provide high-quality, flexible, and interactive courses to Tufts and visiting students. For more information about virtual course policies and expectations, please visit https://universitycollege.tufts.edu/online/online-learning.

Please note: this section is not open to auditors

Basic Enrollment Requirements: Unofficial Transcript – Bachelor’s Degree or progress towards a Bachelor’s Degree + 3.0 GPA.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the type and the instruction mode of the offering: whether the course is in-person, virtual synchronous, virtual asynchronous, or a workshop or short course. Please refer to the section details to confirm the instruction mode and type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type and instruction mode are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

School of Engineering