Institute for Statistical and Data Science |
Instats is dedicated to helping researchers tackle their data-analytic challenges by providing hands-on training and expert consulting |
Have you ever wanted to learn Python, but taught by and for researchers? Join professor Tim Bednall for A Gentle Introduction to Python running April 11th & 12th to learn about Python’s unique set of powerful tools and packages for data analysis that you won’t find elsewhere in environments such as R or Stata. From traditional data management and analysis to sophisticated tools for clustering, dimensionality reduction, machine learning, and AI, this seminar will get you started with Python so you can start using it in your research projects. |
Live-streaming seminars are delivered by our experts and include interactive tutorials, discussion, and activities. To enable asynchronous learning, recordings of all sessions and instructor support are available for 30 days. |
Other Live-Streaming Seminars |
April 5th & 6th
Instructor: Dr Jeffrey Wooldridge
Department of Economics, Michigan State University
This workshop covers recent developments in difference-in-differences (DiD) estimation for causal inference with longitudinal panel data, covering the foundational theory for DiD approaches along with flexible regression-based methods and staggered interventions. More recent methods based on rolling controls, long differencing, and more will also will be covered. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 1.5 ECTS Equivalent point.
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April 6th & 7th
Instructor: Dr Michael Zyphur
UQ Business School, University of Queensland and Instats
This seminar will show you how to model longitudinal panel data as a multilevel model with contemporaneous and lagged effects. This type of dynamic SEM (DSEM) allows separating the stable and unstable components of observed variables, offering advantages such as including lagged effects to assess predictive forms of causality, as well as random slopes to reflect individual differences in effects. The seminar covers this with hands-on examples that you can apply in your research. To frame the content, a free background seminar is provided when enrolling: Longitudinal SEM in Mplus. An official Instats certificate of completion is provided and the seminar offers 2 ECTS Equivalent points for European PhD students.
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April 12th, 13th & 14th
Instructor: Dr Carsten Schneider
Department of Political Science, Central European University
This seminar introduces applied set-theoretic methods for the social sciences, focusing on Qualitative Comparative Analysis (QCA). This method is used in fields as diverse as political science, public policy, international relations, sociology, business and management, organizational studies, and even musicology. This seminar will enable participants to produce a publishable QCA of their own. To achieve this, the seminar provides both the formal set-theoretical underpinnings of QCA as well as the technical and practical research skills necessary for performing a QCA. All applied components of the seminar are performed in the R software environment, using RStudio (Cloud) and R packages QCA and SetMethods. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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April 12th, 13th & 14th
Instructors:
Dr Gary Koop
University of Strathclyde and ESCoE (Economic Statistics Centre of Excellence)
Dr Jamie Cross
School of Economics, University of Queensland
Dr Aubrey Poon
School of Business, Örebro University, and Centre for Applied Macroeconomic Analysis, Australian National University
This seminar provides an introduction to Bayesian econometrics. It covers the general theory underlying Bayesian econometrics and Bayesian inference in the linear regression model including an introduction of Bayesian machine learning methods for Big Data regression. Bayesian computational methods such as Gibbs sampling and the Metropolis-Hastings algorithm will be covered, with hands-on lab sections run using real-world data so that you will be able to apply these methods in your ongoing research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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Institute of Statistical and Data Science
Level 3, 174 Queen Street, Melbourne 3000 Australia |
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