INET4061: Data Science I: Machine Learning Essentials

4 Credits

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. Recommended prerequisites: CSCI 1913 or 1933, statistics.

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B+ Average (3.231)Most Common: A (29%)

This total also includes data from semesters with unknown instructors.

586 students
SNWFDCBA

  • 4.97

    /6

    Recommend

  • 4.98

    /6

    Effort

  • 5.30

    /6

    Understanding

  • 5.01

    /6

    Interesting

  • 5.20

    /6

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