SDS 306 * We aren't endorsed by this school

SDS 306 Stats

  • Average Course Rating (from 18 Students)

    4.0/5
    Overall Rating Breakdown
    • 18 Advice
    • 5
      67%
    • 4
      6%
    • 3
      22%
    • 2
      6%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 11%

    • Medium 72%

    • Hard 17%

  • Top Course Tags

    Go to Office Hours

    Math-heavy

    A Few Big Assignments

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    • Profile picture
    Jun 05, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Sarah is a great teacher and she explained things very thoroughly in her class.

    Course highlights:

    I was able to learn statistical methods and actually applied them in real-life situations.

    Hours per week:

    3-5 hours

    Advice for students:

    Make sure to do the practice problems she assigned. Also try to study with a partner or two! It definitely helped me out. My friend and I are still friends til this day.

    • Spring 2015
    • colllins
    • Yes
    • Profile picture
    Feb 21, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    She is an awesome professor! She is very helpful! Don't be afraid to go to her office hours.

    Course highlights:

    I was a little nervous at first, since math isn't my best subject. I enjoyed learning about Z-scores and how to find S.D by hand.

    Hours per week:

    3-5 hours

    Advice for students:

    Do not skip class! Take the time to read your textbook.

    • Spring 2016
    • LindseySmith
    • Yes
    • Math-heavy Go to Office Hours Always Do the Reading
    • Profile picture
    Feb 12, 2017
    | Probably wouldn’t recommend.

    This class was tough.

    Course Overview:

    It has a pretty large workload and decently fast pace, so he ready!

    Course highlights:

    The students in the class were all decently knowledgeable and helpful.

    Hours per week:

    3-5 hours

    Advice for students:

    Be prepared to work and put forth effort! Also expect a large workload.

    • Spring 2017
    • COLLINS
    • Yes
    • Math-heavy Background Knowledge Expected Many Small Assignments

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