Instats je ponudnik izobraževanj s področja znanstveno raziskovalnega dela, predvsem uporabe različnih programov in metod pri statistični obdelavi podatkov.
UM PEF je partnerska institucija z Instats, zato imajo zaposleni 30 % popust na izobraževanja.
Spodaj so prihajajoči spletni seminarji v živo na Instats, ki bi vas morda zanimali. Če se prijavite na kateri koli spletni seminar v živo ali na zahtevo na Instats s svojim univerzitetnim/organizacijskim e-poštnim naslovom, boste avtomatično prejeli 30 % popusta. Uživajte!
Machine Learning for Computational Biology with Nikolay Oskolkov – Livestreaming Sep 16 – Sep 17
This one-day workshop, led by Nikolay Oskolkov from Lund University, provides a comprehensive introduction to machine learning techniques in computational biology, focusing on both theoretical knowledge and practical coding skills in R and Python.
Analysis of DNA Methylation with Aline Muyle – Livestreaming Sep 18 – Sep 21
This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes.
Using ChatGPT for Advanced Data Analysis 3.0 (EU) with Peter Gruber – Livestreaming Sep 23 – Sep 30
This 2-day workshop (plus Q&A session) shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code.
Introduction to Mixed Methods Research: From Theory to Practice with Sergi Fabregues – Livestreaming Sep 23 – Sep 26
This seminar provides a comprehensive introduction to mixed methods research, integrating both qualitative and quantitative approaches to offer a deeper understanding of complex research questions.
From Basic to Advanced Network Analysis in R with Antonio Zinilli – Livestreaming Oct 17 – Oct 19
This 2-day workshop offers a comprehensive understanding of network analysis and its application in R.
Using ChatGPT for Advanced Data Analysis 3.0 (US) with Peter Gruber – Livestreaming Oct 19 – Oct 28
This 2-day workshop (plus Q&A session) shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code.
Qualitative Interviews: From Theory to Practice with Luciara Nardon – Livestreaming Oct 19 – Nov 2
This seminar provides essential training in qualitative interviews for PhD students, professors, and researchers, focusing on preparing effective questions, reflective interviewing, and analyzing qualitative data.
Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth – Livestreaming Oct 22 – Oct 24
This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions.
Methodological and Other Search Filters for Evidence Synthesis with Carol Lefebvre & Julie Glanville – Livestreaming Oct 25 – Oct 25
This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis.
Growth Modeling with SEM with Kevin Grimm & Nilam Ram – Livestreaming Oct 25 – Oct 26
This comprehensive seminar on Growth Modeling with SEM, led by professors Kevin Grimm (ASU) and Nilam Ram (Stanford University), provides essential training for analyzing longitudinal data in various disciplines, including Psychology, Sociology, and Public Health.
Machine Learning and AI for Research in Python with Giovanni Cerulli – Livestreaming Oct 29 – Oct 31
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python.
Identifying Unpublished Clinical Trial Data for Evidence Synthesis with Carol Lefebvre & Julie Glanville – Livestreaming Oct 30 – Nov 1
This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses.
Switching from SPSS to R (Free 2-hour Seminar) with Daisung Jang – Livestreaming Nov 5 – Nov 5
This seminar facilitates the transition from SPSS to R for researchers in various academic fields, offering practical insights and hands-on experience with R’s powerful data analysis capabilities.
Applied Regression with Continuous and Categorical Data with Paola Zaninotto & Giorgio Di Gessa – Livestreaming Nov 19 – Nov 23
This comprehensive 4-day workshop equips researchers with advanced skills in both linear and Poisson regression analysis using real-world data.
Multilevel Structural Equation Modeling in Mplus with Michael Zyphur – Livestreaming Dec 5 – Dec 6
This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM.
Survival Analysis for Social and Health Science with Kevin Grimm – Livestreaming Dec 7 – Dec 7
This one-day workshop provides a comprehensive introduction to survival analysis, focusing on its application in social and health sciences.
Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval – Livestreaming Dec 12 – Dec 13
This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis.
Machine Learning and AI for Researchers in R with Giovanni Cerulli – Livestreaming Dec 12 – Dec 14
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R.
Bayesian Spatial and Spatio-Temporal Modeling in R with Andrew Lawson – Livestreaming Jan 8 – Jan 11
This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data.
Meta-Analysis: An Introductory Course with Michael Borenstein – Livestreaming Jan 14 – Jan 17
This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses.
Estimating Dose-Response Functions in Stata with Giovanni Cerulli – Livestreaming Jan 14 – Jan 15
This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT).
Introduction to Bayesian Statistical Modelling with Rosina Savisaar – Livestreaming Jan 16 – Feb 13
This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective.
Meta-Analysis: An Advanced Course with Michael Borenstein – Livestreaming Jan 28 – Jan 31
This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies.
