PSTAT 130
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PSTAT 130 Advice

  • Average Rating

    4.3/5
    Overall Rating Breakdown
    • 4 Advice
    • 5
      25%
    • 4
      75%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty

    • Easy 100%

    • Medium 0%

    • Hard 0%

  • Top Course Tags

    A Few Big Assignments

    Competitive Classmates

    Great Intro to the Subject

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    • Profile picture
    Dec 06, 2016
    | Would recommend.

    Pretty easy, overall.

    Course Overview:

    a very easy statistics class (compared to 120a) but people who have taken more also say it is easy

    Course highlights:

    sas base programming which the school has on its computers

    Hours per week:

    0-2 hours

    Advice for students:

    all work done in class and grade is from midterm and final

    • Fall 2016
    • goffa
    • Profile picture
    Nov 27, 2016
    | Would recommend.

    Pretty easy, overall.

    Course Overview:

    This class is taught in the computer labs so you get lots of practice with the sas software. It is an intro to sas and it is really taught from square one

    Course highlights:

    You will learn so much just from going to lecture and section. There is not too much work to be done outside of class bc sas software would be too expensive for students to purchase.

    Hours per week:

    0-2 hours

    Advice for students:

    Go to lecture to understand what is going on. It is definitely on the easier side for statistics classes

    • Spring 2016
    • ToddGross
    • Profile picture
    Aug 12, 2016
    | Would recommend.

    Pretty easy, overall.

    Course Overview:

    I would recommend this course because SAS is a great foundation for learning other special-based programming languages such as SQL and R. Also, it's not to heavy on the programming aspect, so you shouldn't expect going into depth on looping and conditional statements. But overall, I think this course is a nice preview for much harder programming languages and will help you feel excited about learning more rather than shy you away.

    Course highlights:

    This course taught me a lot about data management. It also gave me a nice preview on structuring large unstructured datasets. Besides that most of the class was about learning how to format datasets so the data could be presentable to the reader. We learned how to sort datasets and have them organized through a specific BY variables. Also we learned how to MERGE and APPEND datasets so we could thus be able to read multiple datasets as one.

    Hours per week:

    6-8 hours

    Advice for students:

    Practice the multiple choice questions. As I said before, this course isn't too heavy on the programming so don't expect programming type questions on the midterms and finals. Instead one should expect questions on the functionalities of various keywords and option variables. The more you know how these keywords function, the easier it will be for you to pick out the right answer on the multiple choice exam.

    • Summer 2016
    • Swenson
    • Great Intro to the Subject A Few Big Assignments Competitive Classmates

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