INET4061
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INET 4061 - Data Science I: Machine Learning Essentials (4 Cr.) Online may be available
Course description
Introduction to data science. Design strategies for business analytics: statistics for machine learning, core data mining models, data pipeline, visualization. Hands-on labs with data mining, statistics, and in-memory analytics software.
Prereq: (CSci 1913 or 1933 or INet 2002) and (Stat 1001 or 3011 or 3021 or BA 2551 or EPsy 1261)
Prereq: (CSci 1913 or 1933 or INet 2002) and (Stat 1001 or 3011 or 3021 or BA 2551 or EPsy 1261)
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Lecture
Requirements
013511
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall & Spring