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SDS 302 Data Analysis for Health

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  • Professor:
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    Harvey, Gobluski, LindseySmith, SUSSMAN,HARVEYM, Christopher Golubski, Kristin Harvey, Lin Lizhen, SPARKS, GuyCole, kyongjoo hong

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  • Average Rating

    4.3/5
    Overall Rating Breakdown
    • 16 Advice
    • 5
      63%
    • 4
      13%
    • 3
      19%
    • 2
      6%
    • 1
      0%
  • Course Difficulty

    • Easy 31%

    • Medium 63%

    • Hard 6%

  • Top Course Tags

    Great Intro to the Subject

    Many Small Assignments

    Go to Office Hours

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    • Profile picture
    Nov 10, 2016
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    She was great, gave great explanations to problems and how to solve them

    Course highlights:

    I learned a lot about statistics

    Hours per week:

    6-8 hours

    Advice for students:

    Go to her office hours and talk to teaching assistants

    • Fall 2015
    • Kristin Harvey
    • Go to Office Hours Many Small Assignments Group Projects
    • Profile picture
    Nov 10, 2016
    | No strong feelings either way.

    Not too easy. Not too difficult.

    Course Overview:

    Golubski's course is entirely manageable, however I'd recommend taking him only if you have prior stats experience.

    Course highlights:

    Great TA, manageable course load, easy to follow powerpoints

    Hours per week:

    3-5 hours

    Advice for students:

    Find someone else in the class to work on pre-labs and the weekly homework with!

    • Fall 2016
    • Christopher Golubski
    • Yes
    • Math-heavy Great Intro to the Subject Many Small Assignments
    • Profile picture
    Nov 10, 2016
    | No strong feelings either way.

    Not too easy. Not too difficult.

    Course Overview:

    I would recommend this class if you're looking to take a math course. The material and labs were pretty straightforward to learn/do with a lot of help from the TAs. Sometimes it's challenging to get the information from lecture because Professor Hong goes through the power point slides quickly, so it's important to pay attention and go to office hours if needed. She also posts the PowerPoint after class.

    Course highlights:

    I found the power points posted after class very helpful when I didn't get the notes in class or I didn't fully understand Professor Hong's explanation. I liked how Professor Hong gave us motivational pep talks during class.

    Hours per week:

    3-5 hours

    Advice for students:

    Definitely go to the TA's or Professor Hong's office hours if you don't understand the material. Look over the PowerPoints posted online and really pay attention during class.

    • Fall 2016
    • kyongjoo hong
    • Yes
    • Math-heavy Go to Office Hours Many Small Assignments


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