APMA 3150

From Data to Knowledge

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Course Description

This course uses a Case-Study approach to teach statistical techniques with R: confidence intervals, hypotheses tests, regression, and anova. Also, it covers major statistical learning techniques for both supervised and unsupervised learning. Supervised learning topics cover regression and classification, and unsupervised learning topics cover clustering & principal component analysis. Prior basic statistic skills are needed.


  • Meiqin Li

     Rating

     Difficulty

    2.00

     GPA

    3.84

     Sections

    2

    Last Taught

    Fall 2025

  • Gianluca Guadagni

     Rating

     Difficulty

    3.00

     GPA

    3.65

     Sections

    Last Taught

    Fall 2022

  • Diana Morris

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2024

  • Kamwoo Lee

     Rating

     Difficulty

     GPA

    3.76

     Sections

    Last Taught

    Fall 2019

  • Heze Chen

     Rating

     Difficulty

     GPA

    3.87

     Sections

    1

    Last Taught

    Fall 2025