Instats is a provider of training in scientific research, especially in the use of various software and methods of statistical data processing.
UM Faculty of Education is a partner institution with Instats, so staff receive a 30% discount on training courses.
Below are some upcoming livestreaming seminars at Instats which may be of interest to you. The University of Maribor is an institutional partner of Instats, so if you register for any Instats livestreaming or on-demand seminars using your university/organisational email address, you will automatically receive 30% off. Enjoy!
AI-Assisted Systematic Reviews and Meta-Analysis with Moses Boudourides – Livestreaming Jun 11 – Jun 13
A no-code seminar for researchers who need rigorous, reproducible literature reviews — participants are not expected to write or modify a single line of code.
Nonlinear Structural Equation Modeling with Holmes Finch – Livestreaming Jun 12 – Jun 12
This seminar provides researchers with the theoretical framework and hands-on implementation needed to specify, estimate, and interpret complex nonlinear relationships among latent variables in R and Mplus.
Single Cell Data Analysis 3.0 with Nikolay Oskolkov – Livestreaming Jun 15 – Jun 16
This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies.
Introduction to Survey Design with Adam Berinsky – Livestreaming Jun 16 – Jun 17
This workshop covers the theoretical foundations and practical techniques of survey design for empirical research, emphasizing measurement validity, sampling principles, and instrument implementation.
AI-Powered Qualitative Analysis in R (Europe) with Kenneth Benoit & Seraphine Maerz – Livestreaming Jun 16 – Jun 17
This hands-on workshop introduces AI-assisted qualitative analysis in R, guiding participants through accessible workflows to code text, images, audio, PDFs, and tabular data with minimal programming.
Clustering High-Dimensional Data 3.0 with Nikolay Oskolkov – Livestreaming Jun 16 – Jun 17
This seminar provides comprehensive training in clustering techniques using R and Python.
Exploratory Analysis of Complex Datasets with AI 3.0 with Nikolay Oskolkov – Livestreaming Jun 17 – Jun 18
This advanced workshop enables participants to conduct exploratory data analysis of complex datasets through hands-on practice with techniques like dimensionality reduction, clustering, and machine learning data integration.
Carrefour des Statistiques sur le SGDI (Séminaire gratuit) with François Marshall – Livestreaming Jun 18 – Jun 18
Ce séminaire explore le Carrefour des statistiques sur le SGDI de Statistique Canada comme ressource centrale pour les données liées au genre, à la diversité et à l’inclusion.
Dimension Reduction for Complex Datasets 2.0 with Nikolay Oskolkov – Livestreaming Jun 18 – Jun 19
This seminar covers dimension reduction techniques in R and Python for high-dimensional datasets.
Practical Meta-Analysis for Beginners with Centre for Applied Statistics Courses (CASC) – Livestreaming Jun 22 – Jun 25
This brief ‘Practical Meta-Analysis for Beginners’ workshop by University College London (UCL) provides an overview of meta-analysis from a statistical point of view, with an optional half day workshop in R.
Advanced Survey Design with Adam Berinsky – Livestreaming Jun 23 – Jun 24
This workshop covers advanced survey methodology with emphasis on respondent attention measurement, modern internet sampling, and advanced question and scale design.
Using AI to Learn Python for Data Analysis with Peter Gruber – Livestreaming Jun 24 – Jun 27
This workshop offers a 21st-century introduction to statistical analysis and programming using AI as your personal Python tutor.
Overview of the GDIS Hub (Free Seminar) with François Marshall – Livestreaming Jun 24 – Jun 24
This seminar explores the Gender, Diversity and Inclusion Statistics Hub as a key source of disaggregated and intersectional official statistics for advanced research.
Building Autonomous AI Agents for Scientific Research with Renan Maestri – Livestreaming Jun 27 – Jun 28
This workshop explores how autonomous AI agents can support scientific research in R, from conceptual distinctions between chat systems and agentic workflows to practical deployment with open-source tools (OpenCode).
Introduction to Bayesian Analysis 2.0 with Centre for Applied Statistics Courses (CASC) – Livestreaming Jul 1 – Jul 2
This course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods in their own research and understand the Bayesian analyses and results of others.
Handling Non-Normal Traits in IRT Models (Free Seminar) with Holmes Finch – Livestreaming Jul 2 – Jul 3
This seminar describes estimation techniques for item response theory models when the latent trait is not normally distributed.
Latent Variable Mixture Models with Holmes Finch – Livestreaming Jul 6 – Jul 8
This workshop covers application and theory for fitting latent variable mixture models, with a focus on specification, estimation, model selection, and robust inference.
What is GIS? 2.0 (Free Seminar) with Nick Bearman – Livestreaming Jul 9 – Jul 9
This seminar provides a comprehensive introduction to geospatial information systems (GIS), exploring fundamental concepts, spatial data sources, and software tools applicable across various research fields.
Randomization, Bootstrap & t-Tests with Ken Gerow – Livestreaming Jul 9 – Jul 9
This seminar explores randomization tests, bootstrap confidence intervals, and the two-sample t through a conceptually rich comparison of testing and estimation.
Applied Research Methods for Social Scientists with James F. Downes – Livestreaming Jul 13 – Jul 17
This interactive course links theory with contemporary social science research and policy.
Integration Strategies in Mixed Methods Research with Sergi Fabregues – Livestreaming Jul 13 – Jul 15
This seminar offers an in-depth exploration of integration in mixed methods research, teaching participants how to effectively integrate qualitative and quantitative data to enhance their research outcomes.
Text-as-Data with Python with Jihye Park – Livestreaming Jul 20 – Jul 23
This workshop covers the essential Python skills needed to work with text as data, starting from basic coding concepts and progressing toward applied text processing and language-model-based analysis.
High-Performance Programming for Biology with Giulio Formenti – Livestreaming Jul 21 – Aug 1
This workshop explores high-performance programming in C and C++ for biological and genomic data, combining language fundamentals with practical optimisation techniques.
Python Made Easy: Interactive Workshop for Beginners with Danielle The Carpentries – Livestreaming Jul 22 – Jul 23
This workshop teaches core Python programming and plotting skills for researchers, with a focus on pandas-based data wrangling and publication-ready visualization.
Retrieving Genomic Data From Ensembl with Jorge Batista da Rocha & Aleena Mushtaq-Stolworthy – Livestreaming Jul 28 – Jul 29
The Ensembl Genome Browser has supported global genomics research for 25+ years, integrating data on genes, variants, and regulation across thousands of species.
Introduction to QGIS & Spatial Data 2.0 with Nick Bearman – Livestreaming Aug 4 – Aug 6
This two half day workshop provides a comprehensive introduction to QGIS and spatial data analysis, equipping researchers with the essential skills to handle and visualize spatial data effectively.
Using Experiments in Applied Economics with Sebastian Galiani – Livestreaming Aug 7 – Aug 29
This four-day workshop provides an in-depth exploration of experimental methods in applied economics, focusing on the identification and interpretation of causal effects to enhance empirical research outcomes.
Simulation-Based Power Analysis with Byran Smucker – Livestreaming Aug 11 – Aug 20
This workshop shows participants how to perform simulation-based power analysis and sample size calculation.
Advanced QGIS: Spatial Analysis 2.0 with Nick Bearman – Livestreaming Aug 11 – Aug 13
This intensive seminar provides a deep dive into advanced spatial analysis techniques using QGIS, aimed at enhancing research capabilities in various academic fields.
Introduction to Dyadic Data Analysis 2.0 with Michael Fitzgerald – Livestreaming Aug 13 – Aug 15
This three-day workshop delves into dyadic data analysis using Structural Equation Modelings in R (lavaan), equipping participants with the skills to analyze paired interactions and complex relational dynamics.
Introduction to Spatial Data and R as a GIS 2.0 with Nick Bearman – Livestreaming Aug 18 – Aug 20
This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data.
Research Project Design and Grant Proposal Development with Sabine Preusse – Livestreaming Aug 19 – Aug 27
This workshop covers the entire process of turning a research project into a competitive grant proposal, including interpreting funding calls, structuring work programmes, and planning budgets.
Key Design Concepts in Surveys and Comparative Studies with Roderick Little – Livestreaming Aug 25 – Aug 29
This workshop covers foundational design principles for surveys and comparative studies, emphasizing randomization, sampling schemes, and the interpretation of accuracy and precision.
Advanced R for Spatial Analysis 2.0 with Nick Bearman – Livestreaming Aug 25 – Aug 27
This seminar provides an in-depth exploration of advanced spatial analysis techniques using R, aimed at enhancing the ability to handle and interpret complex spatial data.
Writing Your First Paper (Free Seminar) with Jenifer C. Lopes – Livestreaming Aug 31 – Sep 1
This workshop covers core skills for drafting, structuring, and preparing manuscripts for publication, with a focus on the biological sciences.
Advanced Statistical Methods for Genetic Association Studies with Jingjing Yang – Livestreaming Sep 9 – Sep 11
This workshop covers advanced statistical methods for genetic association studies, including Genome-Wide Association Studies (GWAS), molecular Quantitative Trait Loci (QTL) analysis, co-localization, Mendelian Randomization (MR), Transcriptome-Wide Association Studies (TWAS), and proteome-wide association studies (TWAS).
Geometrics Morphometrics Using TPS and R with Renan Maestri – Livestreaming Oct 27 – Oct 29
This workshop explores the fundamentals of geometric morphometrics with practical implementation in R.
