Courses

For course syllabus click on the course name.

Spring Session 26 April - 11 May 2021

Instructor Course Start End Level ECTS
Francesco Audrino
Computational Statistics 26 Apr 2021 11 May 2021 A 4

Workshop Lectures 03 - 05 June 2021

Instructor Course Start End Level ECTS
Timothy McDaniel
Workshop Lectures on Applied Maths & Matrix Algebra 3 Jun 2021 5 Jun 2021 W 0
Timothy McDaniel
Workshop Lectures on Regression 3 Jun 2021 5 Jun 2021 W 0
William Hampton
Workshop Lectures on Statistics with R 3 Jun 2021 5 Jun 2021 W 0

1st Session 07 - 11 June 2021

Instructor Course Start End Level ECTS
Andrew Bennett
Case Study Methods 7 Jun 2021 11 Jun 2021 B 4
Stefan Andreas Sperlich
Advanced Microeconometrics 7 Jun 2021 11 Jun 2021 A 4
Reto Hofstetter
Data Scraping and Management for Social Scientists with R 7 Jun 2021 11 Jun 2021 B 4
John Poe
Basic and Advanced Multilevel Modeling with R and Stan 7 Jun 2021 11 Jun 2021 M 4
Shawna Smith
Foundations of Machine Learning and Regression Methods for Categorical Outcomes 7 Jun 2021 11 Jun 2021 A 4
Michael Schulte-Mecklenbeck
Dirk Wulff
Visualizing and Communicating Data with R 7 Jun 2021 11 Jun 2021 B 4
Brett Lantz
Machine Learning with R - Introduction 7 Jun 2021 11 Jun 2021 B 4
Timothy McDaniel
Regression I - Introduction 7 Jun 2021 11 Jun 2021 B 4
Sara Mitchell
Introduction to Time Series Analysis 7 Jun 2021 11 Jun 2021 M 4
Michael Kalish
Bayesian Data Analysis 7 Jun 2021 11 Jun 2021 M 4
Adam Enders
Analyzing Survey Research Data 7 Jun 2021 11 Jun 2021 M 4

2nd Session 14 - 18 June 2021

Instructor Course Start End Level ECTS
Lorenz Christoph Meuli
Biostatistics 14 Jun 2021 18 Jun 2021 B 4
Andreas Herrmann
Douglas Baer
Introduction to Structural Equation Models 14 Jun 2021 18 Jun 2021 M 4
Amanda Montoya
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis I 14 Jun 2021 18 Jun 2021 M 4
Christopher Zorn
Analyzing Panel Data 14 Jun 2021 18 Jun 2021 A 4
Brett Lantz
Machine Learning with R - Advanced 14 Jun 2021 18 Jun 2021 M 4
Timothy McDaniel
Regression Analysis II - Linear Models 14 Jun 2021 18 Jun 2021 M 4
Martin Spindler
Econometrics of Big Data 14 Jun 2021 18 Jun 2021 A 4
Peer Fiss
Qualitative Comparative Analysis 14 Jun 2021 18 Jun 2021 M 4
Gerald Häubl
Experimental Methods for Behavioral Science 14 Jun 2021 18 Jun 2021 B 4
Kunpeng Zhang
Analyzing Unstructured Data 14 Jun 2021 18 Jun 2021 M 4
Edward Kwartler
Text Mining 14 Jun 2021 18 Jun 2021 M 4

3rd Session 21 - 25 June 2021

Instructor Course Start End Level ECTS
Florent Baty
Randomized Clinical Trials: General Concepts and Statistical Aspects 21 Jun 2021 25 Jun 2021 M 4
Tasha Fairfield
Advanced Case Study Methods: Explicit Bayesian Process Tracing 21 Jun 2021 25 Jun 2021 A 4
Roland Füss
Zeno Adams
Regression Analysis for Spatial Data 21 Jun 2021 25 Jun 2021 A 4
Damian Borth
Korbinian Riedhammer
Deep Learning: Fundamentals and Applications 21 Jun 2021 25 Jun 2021 M 4
Petyo Bonev
Theoretical Aspects of Machine Learning 21 Jun 2021 25 Jun 2021 A 4
Christopher Zorn
Regression for Publishing 21 Jun 2021 25 Jun 2021 A 4
Andreas Herrmann
Douglas Baer
Advanced Structural Equation Models: Moderation, Longitudinal Data, Categorical Data 21 Jun 2021 25 Jun 2021 A 4
Paul Mihas
Qualitative Research Methods & Data Analysis 21 Jun 2021 25 Jun 2021 B 4
Michael Heaney
Network Analysis - Statistical Analysis of Social Network Data 21 Jun 2021 25 Jun 2021 M 4
Amanda Montoya
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis II 21 Jun 2021 25 Jun 2021 A 4

Fall Session 18 - 29 October 2021

Instructor Course Start End Level ECTS
Michael Lechner
Causal Machine Learning 18 Oct 2021 29 Oct 2021 A 4

 

B = Basic | M = Intermediate | A = Advanced

Courses start at CHF 700.
Deadline for application is 30 April 2021.
See pricing for more details.

IMPORTANT Information for PhD students from University of St. Gallen only:
Please read further information in the PDF document

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