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INEG 41603 — Introduction to Modern Statistical Techniques for Industrial Applications

3 credits · 3 hours

This application-oriented course is driven by real problems arising from industry and focuses on problem solving using both modern and classic statistical methods. For both senior undergraduate and graduate students, the main goal of this course is to provide a comprehensive introduction to those most popular statistical learning methods and tools (such as R and Apache Spark) which are widely used in industry today. Prerequisite: INEG 23303 or INEG 23104 or INEG 33303 . (Typically offered: Spring)

Prerequisites: INEG 23303, INEG 23104, INEG 33303

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