A four day workshop for early career researchers.
27-30 November 2017, Australian National University, Canberra.
The ARC Centre of Excellence in Population Ageing Research (CEPAR) is proud to offer this four day workshop for early career researchers hosted by the Centre for Research in Ageing, Health and Wellbeing at the Australian National University.
Recent methodological advances in data acquisition and analysis have expanded the possibility to explore, interpret, and make sense of our ever-growing behavioral and social data streams. Data science has emerged as a major area of statistical research and is increasingly employed by social scientists. In this 4-day workshop we introduce foundational concepts and practices that support “data mining” and researchers’ ability to engage, apply, and interpret results from exploratory analyses. We will introduce the conceptual bases and strategies employed in exploratory data mining and review a variety of analysis techniques and algorithms for unsupervised and supervised learning, use of training and test data, feature selection, and pattern recognition. Throughout the workshop, we will utilize various packages available through R, an open source statistical program.
Course materials include basic readings on the fundamental issues in exploratory data analysis, lecture notes and R scripts for conducting analyses. The workshop alternates between lectures on the theory and applications of various techniques, and lab sections, which review the specification of the models using R. Participants are strongly encouraged to bring a notebook computer equipped with R.
Phone: +61 2 9385 6619
Workshop Presenter: Dr Nilam Ram, Pennsylvania State University