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STA 371 STATISTICS AND MODELING

  • School:
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  • Professor:
    {[ professorsList ]}
    StathisTompaidis, Greenberg, frank, DAMIEN,PAUL, SCOTT,JAMESG, TOMPAIDIS,EFSTATHIOS, WILLIAMS, encheva, MENDOZA-ARRIAGA,RAFAEL, DON'TKNOW, KumarMuthuraman, Choi, williamson, sinead, James Scott, Damien, Liz Moliski
  • Average Course Rating (from 7 Students)

    3.7/5
    Overall Rating Breakdown
    • 7 Advice
    • 5
      57%
    • 4
      14%
    • 3
      0%
    • 2
      0%
    • 1
      29%
  • Course Difficulty Rating

    • Easy 0%

    • Medium 71%

    • Hard 29%

  • Top Course Tags

    Always Do the Reading

    Go to Office Hours

    Math-heavy

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    • Profile picture
    Mar 03, 2017
    | Would not recommend.

    This class was tough.

    Course Overview:

    Moliski is a super smart woman but not a great teacher. She usually berates students for guessing incorrectly and is confused as to why no one speaks in class. I think most students will fail and plan on riding the curve

    Course highlights:

    Very little blah blah blah blah

    Hours per week:

    6-8 hours

    Advice for students:

    Take it with another prof, Liz isn't good at communicating

    • Spring 2017
    • Liz Moliski
    • Yes
    • Math-heavy Always Do the Reading Participation Counts
    • Profile picture
    Feb 21, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Good professor who knows a lot about the subject

    Course highlights:

    R is a good statistical took to learn

    Hours per week:

    3-5 hours

    Advice for students:

    Go to office hours! Don't fall behind

    • Spring 2016
    • James Scott
    • Yes
    • Math-heavy Go to Office Hours Always Do the Reading
    • Profile picture
    Feb 21, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Scott is a great professor and definitely has great knowledge about statistics. He's so engaging! R is also a great software platform to learn

    Course highlights:

    The statistical tool R is so valuable in the workplace.

    Hours per week:

    3-5 hours

    Advice for students:

    Stay on top of your work and don't be afraid to go to office hours.

    • Spring 2017
    • James Scott
    • Yes
    • Go to Office Hours Always Do the Reading Many Small Assignments

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