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BSIS 201 business analytics

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    • Profile picture
    Jul 27, 2016
    | Would highly recommend.

    This class was tough.

    Course Overview:

    This course will serve as an introduction to sports analytics for students of all backgrounds. We will use ideas popularized from such readings as Moneyball and similar references on sports analytics to examine questions such as: "Who is the best QB in the NFL? Is there such a thing as home field advantage? And if so, why? Should football coaches go for it more on 4th down?" This course will use very simple math and an assortment of popular readings to demonstrate the power of analytics to analyze sports. Students will not need any advanced skills above basic algebra to understand the concepts in this course.

    Course highlights:

    Topics include descriptive statistics, data visualization, probability distributions, sampling, confidence intervals, hypothesis testing and linear regression

    Hours per week:

    9-11 hours

    Advice for students:

    The goal is to help students become more familiar and more interested in problem solving and quantitative methods. Many students already spend much of their time following and participating in sports. We will use sports examples to introduce the power and relevance of formal problem solving and quantitative methods

    • Summer 2014
    • Lediona Nishani
    • Yes
    • Requires Lots of Research

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