Menu
Log in


Expression of Interest in Survey and Data Science Courses in 2023–24

  • 16 Nov 2023
  • (AEDT)
  • 31 Oct 2024
  • (AEDT)
  • Online-weekly one hour classes-this is 6 courses offered over the next year

Registration


Register
Expression of interest in survey and data science courses in 202324

 

Due to the high demand for the Sampling Course in 2022 and strong interest in other courses from the International Program in Survey and Data Science (IPSDS) Masters program the Social Research Centre and Statistical Society of Australia have partnered again to expand IPSDS course offerings in Australia.

The IPSDS is a program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland. It is directed by Prof. Frauke Kreuter, who is professor at the Ludwig Maximilian University of Munich.

These course offerings are motivated back the lack of Australian equivalents.

If you are interested in the Item Nonresponse, Sampling, Big Data/Machine Learning for Surveys and/or Weighting courses please register your interest so that we can determine whether there is sufficient demand. 

The courses to be offered in 2023–24 are:

Course

Dates

Instructor(s)

Prerequisites

Item Nonresponse and Imputation

Jun–Jul 2023 (4 weeks)

Prof Jörg Drechsler

Familiarity with generalised linear models and basic knowledge of R

Sampling I

Oct–Nov 2023 (8 weeks)

Dr Raphael Nishimura

A sound background in applied statistics, proficiency in mathematics, including basic algebra

Introduction to Big Data/‌Machine Learning I

Jan–Feb 2024 (4 weeks)

Prof Frauke Kreuter and Prof Trent D. Buskirk

None, but undergrad statistics background, some familiarity with regression models assumed and familiarity with R recommended

Sampling II

Mar–Apr 2024 (4 weeks)

Dr Raphael Nishimura

Sampling I or equivalent; R skills helpful

Step-by-Step in Survey Weighting

Mar–Apr 2024 (4 weeks)

Dr Anna-Carolina Haensch

Sampling I or equivalent

Machine Learning II

Sep–Oct 2024 (8 weeks)

Prof Christoph Kern and Prof Trent D. Buskirk

Machine Learning I or equivalent and basic knowledge of R

Basic R skills can be acquired from a SSA R workshop which will be offered before the Machine Learning course or online e.g. via DataCamp or equivalent.

All courses are conducted over 4 or 8 weeks period (depending on the course) with weekly 1 hour online classes in addition to assignments and exam assessment at the end of the course. Participants should expect pre-recorded videos, readings and exercises to be completed outside of the weekly meetings consistent with a master’s course.

Indicative cost per course is $1,500(ex-GST) per attendee, with $1,250(ex-GST) per attendee volume discount for organisations enrolling three or more.

We are asking for expressions of interest in these courses to ensure there is sufficient demand for the courses to run. Please register your interest or contact events.statsoc@gmail.com with any questions.


Powered by Wild Apricot Membership Software