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STA sta methods of data analysis

  • School:
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  • Professor:
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    alison, Moshonov, Alison Gibbs, ShivonSue-Chee, CraigBurkett
  • Average Course Rating (from 1 Student)

    4.0/5
    Overall Rating Breakdown
    • 1 Advice
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  • Top Course Tags

    A Few Big Assignments

    Background Knowledge Expected

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    • Profile picture
    Mar 21, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Useful course, building a strong foundation for data analytics. The instructor is very good as well.

    Course highlights:

    Again, the instructor was is very good. Good lectures in class combined with helpful office hours and online discussion forum.

    Hours per week:

    3-5 hours

    Advice for students:

    Keep up with the material and visit office hours even to just listen to other people's questions. Start early on the assignments.

    • Winter 2016
    • CraigBurkett
    • Yes
    • Background Knowledge Expected A Few Big Assignments

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