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Stats Central Short Courses: Sample Size & Power; Intro. to Python

  • 15 Nov 2019 10:24 AM
    Message # 8108362
    Deleted user

    G’day, Everyone.

    I hope you’re all keeping well and safe and as far away from bushfires as possible.

    A reminder that Stats Central at UNSW is running two more short courses before the end of the year. Details are below.

    This is your last chance this year to come to one of our practical, applied statistics courses! Could you please send this to anyone who might be interested. 


    Sample Size and Power Calculations

    UNSW Business School (E12), Room 115,
    UNSW Kensington Campus
    Tuesday, 26 November 2019 from 9:00 am to 5:00 pm

    Power calculations and sample size determination are essential parts of planning a scientific study. In this one-day course, we will introduce the basic principles of precision-based and power-based sample size calculations. Using practical examples, we will demonstrate how to perform sample size calculations for common designs in single-sample studies and for comparing groups, as well as discuss related issues, such as multiple comparisons. A variety of useful software for power calculations will be highlighted.

    Bookings and more information:
    https://www.analytical.unsw.edu.au/facilities/stats-central/short-courses

     

     

    Introduction to Python for Data Science

    UNSW Business School (E12), Room 115,
    UNSW Kensington Campus
    Tuesday, 3 December 2019 from 9:00 am to 5:00 pm

    Python is a widely used programming language to manipulate, analyse, and visualise data. It is one of the most popular languages for data science, especially when dealing with complex, uncurated or text datasets.

    This one-day introduction to Python assumes that you have never used Python before, but you have some basic programming knowledge. You will learn how to obtain and install Python, which is open-source software, and Jupyter Notebook, which is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. 

    We will cover some useful features of Python for data science and discuss various online resources available to further develop your data science skills using Python. The course is self-paced and focussed on developing practical skills.

     

    Bookings and more information:
    https://www.analytical.unsw.edu.au/facilities/stats-central/short-courses


    Best wishes,

    Peter

    Peter Geelan-Small   Statistical Consultant  |  Stats Central  |  Mark Wainwright Analytical Centre
    UNSW Sydney NSW 2052  |  m: 0435 579 163  |  Work days: Tuesday
    to Friday  |  www.statscentral.unsw.edu.au

     

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