Join Professor Rafael Moral for an intensive workshop on generalized linear models (GLMs) in R—designed for PhD students, academics and professional researchers who want to master modeling for binary, ordinal and count data. The course covers the foundations of GLMs and practical implementation using R (glm and related tools), including binary/binomial and categorical logistic regression, Poisson and negative binomial regression, beta-binomial and zero-inflated models, handling overdispersion, model comparison, interpretation and prediction. Delivered live via Zoom with take-home challenges, a monitored Q&A forum, and all recordings/materials available for 30 days after the seminar, the workshop also provides an Instats certificate of completion (ECTS-equivalent points for European students). Offered through PR Stats, this hands-on course will strengthen your statistical toolkit and confidence applying GLMs to real research—visit PR Stats to learn more and enroll. #DataScience #Biostatistics #Mathematics #Statistics #R #Research #ResearchTraining #Instats

Looking to boost your research with practical machine learning skills? Join the self-paced, on-demand workshop "Introduction to Machine Learning using R" taught by Prof. Rafael Moral (PR Stats) — designed for PhD students, professors and professional researchers who want hands-on experience and a solid theoretical foundation. You’ll master supervised and unsupervised methods (clustering, PCA, regression, regularization, GAMs), cross-validation, tree-based methods and extensions (random forests, BART), all implemented in R with ready-to-run code, datasets and exercises; videos and materials are available for 30 days after enrolment, and successful participants receive an Instats certificate with ECTS-equivalent points for European students. Enrol anytime to improve your data analysis workflow, strengthen your publications, and add highly valued skills to your academic and industry profile. #Bioinformatics #ComputerScience #Statistics #DataScience #R #Research #ResearchTraining #Instats

Join a one-day, hands-on workshop on modern statistical methods for network data led by Professor Tianxi Li (School of Statistics, University of Minnesota). Designed for PhD students, faculty, and professional researchers, the workshop pairs concise theory with live R demonstrations and reproducible workflows to cover network representations and summaries, statistical inference and null models, probabilistic models (stochastic block and latent-space), community detection and link prediction, attributed-network analysis, and privacy-preserving release of relational data. Participants will leave able to select and fit appropriate models, implement latent-space and block models in R, design proper cross-validation for link prediction, perform simulation-based model checks, and apply best practices for computation and reproducible reporting (bring a laptop with R/RStudio; basic R, linear algebra, and probability assumed). The seminar is livestreamed via Zoom, all recordings and materials are available for 30 days after the event, and attendees receive an Instats certificate of completion (ECTS-equivalent points indicated for European students). #ComputationalSocialScience #DataScience #SocialTheory #Statistics #MachineLearning #PublicPolicy #Sociology #ComputerScience #R #Research #ResearchTraining #Instats

Join Dr. Hadi Fariborzi for a one-day, hands-on seminar — AI for Data Visualization and Dashboards — designed for PhD students and academic researchers who want to turn raw data into AI-assisted, publication-ready visuals and interactive dashboards. Through four realistic micro-projects and cross-platform workflows (ChatGPT + Power BI, Tableau, Python, R), you’ll practice prompt engineering, scripting, and reproducible design to clean and transform data, generate charts and narrative captions, build mixed-method dashboards, and export peer-ready outputs. Participants leave with a multi-page interactive dashboard, code snippets, a prompt library, and a best-practices checklist; all sessions are livestreamed on Zoom with recordings and materials available for 30 days, a monitored Q&A forum, and a certificate of completion (ECTS equivalent where indicated). Register today to secure your spot and accelerate the path from data to defensible, publication-quality visual storytelling. disciplines #ComputerScience #Statistics #DataScience #ChatGPT #PowerBI #Python #R #Tableau #Research #ResearchTraining #Instats

Participez à l'atelier d'une demi-journée "Quarto interactif avec Shiny" organisé par le SMCS (UCLouvain) et apprenez à transformer vos analyses en rapports et applications web interactifs avec R, Quarto et Shiny : intégration de Shiny dans des rapports Quarto automatisés, tableaux et visualisations dynamiques, bonnes pratiques pour optimiser vos projets. Destiné aux doctorant·es, professeur·es et chercheur·euses souhaitant renforcer leurs compétences en data science et accroître la visibilité et l'impact de leurs travaux, l'atelier est animé par des expert·e·s du SMCS. Sessions en direct via Zoom, enregistrements, supports et forum de questions-réponses accessibles pendant 30 jours ; une version à la demande est également disponible. Plus d'infos et inscriptions sur le site du SMCS — ne manquez pas cette opportunité de valoriser vos résultats de recherche grâce à des outils modernes et pratiques. #DataScience #SoftwareEngineering #ComputerScience #R #Quarto #Shiny #Research #ResearchTraining #Instats

Join our intensive workshop on Dynamic Structural Equation Modeling (DSEM) with Mplus — designed for PhD students, academics, and professional researchers in psychology, education, social and health sciences who need to model change over time and intra-individual variability in intensive longitudinal data. Covering DSEM theory, specifying and estimating dynamic models in Mplus (including Bayes estimation), time-lagged variables, autocorrelation and moving-average processes, missing data handling, model evaluation, and real-world applications, the seminar includes live Zoom sessions with take-home skill challenges, a monitored chat forum, and all recordings/materials (program input, output, data, slides) available for 30 days after the seminar; on-demand access offers the same 30-day material window. Participants receive an Instats certificate of completion (ECTS equivalent indicated for European students); this material originally appeared as Mplus Web Talk 6 on statmodel.com. #Education #Statistics #Psychology #Research #ResearchTraining #Instats

Join Professor Bengt Muthén for an advanced seminar on Dynamic Structural Equation Modeling (DSEM) with cycles — ideal for PhD students, faculty, and researchers working with longitudinal, cyclical, or periodic data in psychology, education, social and health sciences. The workshop covers DSEM fundamentals and advanced topics including cycle identification and modeling, multilevel DSEM, practical Mplus implementation, model diagnostics (convergence, floor effects), robustness checks, and real-world case studies, and includes hands-on take-home challenges. Live seminars are taught via Zoom and provide recordings, program input/output, data and slides for 30 days (on-demand seminars offer the same 30-day access after activation), and an instructor-monitored chat is available for 30 days after the seminar. Participants receive an Instats certificate of completion (ECTS-equivalent noted for European students). Find the original Mplus Web Talk and supplemental materials at statmodel.com. #DataScience #Education #Psychology #Statistics #Research #ResearchTraining #Instats

Join Professor Bengt Muthen for an in‑depth online seminar on Cross‑lagged Panel Modeling (CLPM) — essential for PhD students, academics, and researchers working with longitudinal data who want to understand the strengths, limitations, and practical implementation of CLPM for establishing cross‑lagged effects. Drawing on his extensive expertise (this talk was originally presented as Mplus Web Talk 5 at statmodel.com), Prof. Muthen will cover theoretical foundations, methodological challenges, and hands‑on applications; the live Zoom seminar includes take‑home skill challenges, a monitored chat forum for 30 days, and all recordings and materials (program input/output, data, slides) available for 30 days after the seminar so you can review asynchronously. On‑demand access is also available, and an Instats certificate of completion is provided (European participants receive ECTS‑equivalent points noted on the certificate). More details and supplemental outputs: statmodel.com and statmodel.com/download/WT5.zip. #Education #Psychology #Statistics #Research #ResearchTraining #Instats

Calling all PhD students and researchers: join an advanced online seminar led by Professor Muthen that digs into cross-lagged modeling for categorical variables in longitudinal (panel) data using Mplus — ideal for anyone who needs to untangle temporal precedence, reciprocal effects, missing data issues, and model fit in categorical SEM. Originally presented as Mplus Web Talk 4 (Part II) on statmodel.com, the workshop includes practical examples, take-home skill challenges, and supplemental readings and outputs; live sessions are taught via Zoom with a monitored chat forum, and all recordings, program input/output, slides and materials are available for 30 days after the seminar (on-demand access also offered). Participants receive an Instats certificate of completion (ECTS equivalent indicated for European students). Learn more or enroll at statmodel.com. #DataScience #Statistics #Education #Research #ResearchTraining #Instats

Advance your longitudinal research skills with a practical, in‑depth workshop on cross‑lagged panel modeling for continuous variables using Mplus—designed for PhD students, academics, and professional researchers. Taught by Professor Muthén, the seminar combines conceptual foundations with hands‑on Mplus instruction (estimating cross‑lagged and autoregressive paths, interpreting fit indices) so you can apply robust longitudinal analyses to theory, policy, and practice. Live Zoom sessions include take‑home skill challenges, and all recordings, program inputs/outputs/data, slides and a monitored Q&A forum are available for 30 days after the seminar (an on‑demand option with the same materials is also offered). Participants receive an Instats certificate of completion (ECTS‑equivalent indicated for European students). Originally presented as Mplus Web Talk 4 (Part I) at statmodel.com—see https://statmodel.com/ for details and supplemental materials (Web Talk 4 inputs/outputs/data and the RSEM paper). #Psychology #Education #DataScience #Statistics #Research #ResearchTraining #Instats

Join renowned UCLA scholar Bengt Muthen for a masterclass on longitudinal Structural Equation Modeling (SEM) that traces the method’s evolution and demonstrates modern approaches—revisiting the landmark Wheaton et al. study—to achieve superior model fit and interpretability; this seminar is ideal for PhD students, academics, and professional researchers in social sciences, psychology, and education who want hands-on skills in longitudinal and latent-variable modeling. Delivered as Mplus Web Talk 3 (originally at https://statmodel.com/), the course includes live Zoom sessions with take-home challenges, a monitored chat forum for 30 days, and full access to recordings, program input/output, data, and slides for 30 days (on-demand access is also available after activation); participants receive an Instats certificate of completion (ECTS equivalent noted for European students). Materials and example outputs are available at http://www.statmodel.com/download/WebTalk3.zip — learn more and enroll at https://statmodel.com/. #SocialTheory #DataScience #Psychology #Statistics #Education #Research #ResearchTraining #Instats

Understanding longitudinal change is essential for PhD students and researchers—this in-depth seminar by Bengt Muthén (originally delivered as Mplus Web Talk 2) teaches Latent Transition Analysis (LTA) and Random Intercept LTA (RI-LTA) and how to implement, interpret, and troubleshoot these models in Mplus. Participants gain practical skills through live Zoom instruction, take-home challenges, and access to program input/output, data, slides and scripts; all materials and the recording are available for 30 days after the seminar and an instructor-monitored forum remains open for questions. Supplemental technical documentation and example files accompany the talk, and attendees receive an Instats certificate of completion (ECTS-equivalent points noted for European students). Ideal for those in psychology, education, and social sciences who want to uncover nuanced longitudinal patterns beyond traditional methods. #DataScience #Statistics #Psychology #Mplus #Research #ResearchTraining #Instats

Join Prof. Melvyn Weeks (University of Cambridge) for a two-day intensive workshop that blends modern machine learning with rigorous econometric methods to teach causal inference—not just prediction—for PhD students, academics and research professionals. Over eight hands-on sessions you’ll learn high-dimensional regularisation (lasso, double lasso), double selection and double/debiased ML, tree- and forest-based treatment-effect methods, connections between classical identification strategies and ML, and practical workflows in Python, R and Stata using worked notebooks and sample data. All seminars are livestreamed via Zoom, with recordings, code and materials available for 30 days after the course and an expert‑monitored Q&A forum for the same period; participants receive an Instats certificate on completion (ECTS-equivalents shown where applicable). Gain the tools and confidence to move from correlations to credible causal claims in your own research—find out more and secure your place today. #SocialSciences #HealthSciences #NaturalSciences #SocialTheory #ComputerScience #Economics #Statistics #DataScience #ChatGPT #Python #R #Stata #Research #ResearchTraining #Instats

Join our workshop "Using ChatGPT with Stata: Panel Data Analysis" to take your statistical skills to the next level—learn to analyze data that varies across time and entities with hands-on sessions covering pooled OLS, between-effects, fixed and random effects, first-differences, time-series cross-section methods, and dynamic panel models (Arellano-Bond, xtabond2), plus practical approaches for binary temporal outcomes. Each lecture features integrated ChatGPT guidance to clarify concepts, generate and refine Stata commands, and troubleshoot code as you work with real datasets in lab exercises. Ideal for PhD students and researchers familiar with basic regression and descriptive statistics; a working installation of Stata is required. By the end of the course you’ll be able to identify panel structures, choose appropriate estimators, implement models in Stata, and interpret results confidently—register now to secure your spot. #Business #Economics #EnvironmentalSciences #Finance #PoliticalScience #PublicHealth #Sociology #Statistics #Econometrics #DataScience #Stata #Research #ResearchTraining #Instats

Join a four-day intensive online workshop led by Dr Martijn Tennekes (Statistics Netherlands) to master spatial data visualization in R with tmap — designed for PhD students, academics and professional researchers. Through hands-on sessions you’ll learn to work with sf, terra and stars, create publication-quality static and interactive maps, choose projections and accessible color schemes, and apply advanced techniques like cartograms, origin–destination/grid maps and glyph-based visualizations, plus map layout customization and export workflows. All sessions are livestreamed via Zoom; recordings, code, slides and data will be available for 30 days after the course and an expert‑monitored Q&A forum is open for 30 days; participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). Register or learn more on our website. #Geography #Demography #Epidemiology #Oceanography #Ecology #ComputerScience #Statistics #DataScience #R #Research #ResearchTraining #Instats

Join Bengt Muthén (UCLA), co‑author of Mplus, for an intensive online seminar exploring the connections between multilevel models and single‑level multivariate models in Mplus, with a special focus on Latent Transition Analysis (LTA). Designed for PhD students, academics and professional researchers, the workshop covers LTA fundamentals, the role of logistic regression, handling longitudinal data with random intercepts, multiple indicators, multilevel factor analysis and two innovative approaches to multilevel latent class analysis, illustrated with real-world examples (e.g., mood and dating studies). Live sessions (Zoom) include take‑home skill challenges, and all recordings, program input/output, data and slides are available for 30 days after the seminar (a monitored chat forum is open for questions during that time); on‑demand enrolment also provides 30 days of access after activation. Participants receive an Instats certificate of completion (ECTS equivalent noted for European students). For details and supplemental materials visit statmodel.com. #SocialSciences #HealthSciences #Education #Statistics #Mplus #Research #ResearchTraining #Instats

Join Dr Rosina Savisaar for a 5-day, hands-on workshop that gives a gentle introduction to Bayesian statistical modelling in R (using brms) — ideal for PhD students and researchers who are new to regression or who want to reframe their thinking from a frequentist to a Bayesian perspective. You’ll learn the basics (variable types, probability distributions, priors, likelihoods, posteriors), build increasingly complex regression models on real datasets, complete short assignments between sessions with solutions reviewed live, and focus on understanding what’s happening under the hood rather than just running black‑box tools. The seminar is open to all fields (examples mainly in biology/biomedicine), requires only basic R and descriptive-statistics knowledge, and includes Zoom livestreams, 30‑day access to recordings/materials and a monitored forum, plus an Instats certificate (ECTS equivalent noted for European students). Space is limited — for questions or to register, contact rosina@mondegoscience.com. #Psychology #Anthropology #PublicHealth #Biostatistics #Genetics #Psychiatry #Statistics #Biology #Bioinformatics #Genomics #Mathematics #DataScience #ComputerScience #R #RStudio #Research #ResearchTraining #Instats

Social networks shape how ideas, resources, and opportunities move through institutions and communities—this intensive two-day, hands-on online workshop introduces PhD students and professional researchers to egocentric social network analysis using Stata, with practical work on a curated subset of the UCNets dataset. You’ll learn when to use egocentric designs, how to design ethical ego–alter surveys, reshape and clean ego–alter data, compute core ego-network metrics (size, tie strength, homophily, multiplexity), and embed those measures into regression models with reproducible Stata do-files, publication-ready tables/figures, and robust sensitivity checks. Delivered live via Zoom with recordings, annotated code, instructor case materials, and a moderated Q&A forum available for 30 days after the workshop, the course also includes a certificate of completion—ideal if you want practical, publishable SNA skills for your research. Register to secure your spot and advance your methodological toolkit. #Education #PublicPolicy #SocialNetworkAnalysis #SocialPsychology #SocialSciences #SocialStratification #Sociology #DataScience #Statistics #Stata #Research #ResearchTraining #Instats

Join the "Useful Tools for Data Science in R" workshop offered by the SMCS at Université Catholique de Louvain—designed for PhD students, professors and professional researchers—to master R workflows with GitHub, Copilot and Visual Studio Code and boost reproducibility, collaboration and productivity in your research. The hands-on program covers Git/GitHub version control and collaborative workflows, using Copilot for smarter code suggestions, integrating R with VS Code or RStudio, and automating tasks to streamline analysis; sessions are livestreamed via Zoom, all recordings and materials are available for 30 days after the seminar (on-demand access also available), and a monitored Q&A forum remains open for 30 days. Participants receive an Instats certificate of completion (ECTS-equivalent points indicated for European students where applicable). Register now to enhance your technical toolkit, optimize your research processes, and connect with a network of like-minded scholars. #ComputerScience #SoftwareEngineering #DataScience #R #GithubCopilot #VSCode(withCopilot) #RStudio #Github #Research #ResearchTraining #Instats

Join Andy Wilson (Spencer Fox Eccles School of Medicine, Univ. of Utah) for a one-day, hands-on workshop applying the Causal Roadmap to turn observational health data into defensible causal answers — ideal for PhD students, faculty, and researchers in biostatistics, epidemiology, health economics, ML and related fields. Through live DAG construction, causal discovery (gCastle/Python), estimation labs in R (propensity methods, g-computation, TMLE with SuperLearner, DML), and generative validation (VAE-based simulations), you’ll practice end-to-end target-trial emulation and leave with reproducible artifacts (DAGs, adjustment sets, R/Python scripts, comparison plots) and a practical toolkit for designing, estimating, and defending causal analyses. The highly interactive format combines short lectures, group work, and guided coding — recordings and all materials are available for 30 days after the seminar, and participants receive a certificate of completion. Register to build transferable technical skills that will strengthen your dissertation, method development, or applied research and help your analyses stand up to peer review and regulatory scrutiny. #Biostatistics #CausalInference #DataAnalytics #Epidemiology #HealthEconomics #MachineLearning #PublicHealth #Statistics #DataScience #ComputerScience #Python #R #Research #ResearchTraining #Instats

Vous êtes doctorant·e, professeur·e ou chercheur·se et souhaitez mieux communiquer vos résultats avec des visualisations percutantes ? L'atelier "Visualisation en Python pour la Data Science", proposé par l'équipe SMCS de l'Université catholique de Louvain, vous offre un parcours pratique et approfondi pour maîtriser Matplotlib, Seaborn et Plotly et créer des graphiques allant des histogrammes, densités, boxplots et violin plots aux scatter, line plots, heatmaps et sous-graphes avancés. À travers des sessions interactives sur Zoom et des exercices appliqués à des jeux de données complexes, vous apprendrez les meilleures pratiques pour explorer vos données, renforcer vos publications et préparer des présentations claires et convaincantes. Toutes les sessions en direct sont enregistrées et le matériel (codes, sorties, données et diapositives) ainsi qu’un forum Q&R supervisé par les experts restent disponibles pendant 30 jours après le séminaire, et les options à la demande suivent les mêmes modalités. Inscrivez-vous dès maintenant pour perfectionner vos compétences en visualisation et valoriser vos travaux de recherche. #DataScience #ComputerScience #Statistics #Python #Research #ResearchTraining #Instats

Join a one-day, hands-on workshop on AI-powered image analysis led by Nikolay Oskolkov (Group Leader/PI, LIOS) designed for PhD students, professors, and professional researchers who need to turn microscopy and clinical images into reproducible, publication-ready measurements. You’ll get rigorous theory plus live coding in Jupyter on Linux, ChatGPT-assisted Python notebooks, and practical end-to-end pipelines covering CNNs, transfer learning, UNet and Mask R-CNN segmentation, object detection, classical OpenCV preprocessing, uncertainty quantification, model interpretability (GRAD-CAM), and best practices for data management, evaluation, and reproducible reporting. By the end of the workshop you will be able to build, train and evaluate segmentation and detection models on real biological datasets, apply augmentation and fine-tuning for small datasets, quantify and interpret uncertainty, and package analyses into reusable Jupyter workflows suitable for theses and peer‑reviewed papers. Live sessions are streamed via Zoom, all recordings and materials are available for 30 days after the seminar, a monitored Q&A forum will be open for follow-up questions, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students where applicable). Register or contact us to learn more and reserve your spot. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Join a one-hour, hands-on EViews workshop with Professor Malvina Marchese—designed for PhD students and researchers new to the software. This introductory session will cover the EViews interface and core features, including importing and manipulating data, creating basic graphs and tables, and performing elementary time-series analyses and forecasting. The workshop is interactive (please follow along on your own computer; a free demo is available at https://eviews.com/demo/), will be recorded, and all materials will be accessible for 30 days after the live event. Prof. Marchese, an experienced econometrician, member of the Board of Directors of the International Institute of Forecasters and Editor for Financial Forecasting at The Oracle, brings extensive applied and consultancy experience and an engaging teaching style—making this a practical foundation for more advanced EViews training in Instats’ seminar series. #DataScience #Statistics #Economics #EViews #Research #ResearchTraining #Instats

Join a two-day intensive, hands-on workshop on Social Network Analysis (SNA) using R, led by Professor Antonio Zinilli (Research Institute on Sustainable Economic Growth, CNR) — ideal for PhD students, academics, and professional researchers in the social and health sciences. You’ll learn to prepare and visualize network data, compute and interpret centrality measures, detect communities, and apply both basic descriptive techniques and advanced modeling with Exponential Random Graph Models (ERGM) through real-world case studies, while also covering ethical best practices. All sessions are livestreamed via Zoom, with recordings, materials and a monitored Q&A forum available for 30 days after the seminar; participants receive an Instats certificate of completion (ECTS equivalent shown for European students). Spaces are limited — find out more and enroll to strengthen your network-analysis skills and advance your research. #Sociology #Economics #PoliticalScience #PublicPolicy #Education #Finance #Statistics #DataScience #Communication #ComputationalStatistics #BibliometricResearch #Econometrics #HigherEducation #ValueNetworks #SocialTheory #InformationScience #R #RStudio #Research #ResearchTraining #Instats

Demand prediction in supply chains sits at the intersection of statistics, machine learning and operations research — join a focused three-day workshop taught by Isik Bicer (Schulich School of Business, York University) that blends rigorous theory with hands-on Python practice to equip PhD students, faculty and research professionals with publishable methods and reproducible code. Through lectures and live coding labs you’ll work with regression and tailored regularization, SARIMA and time-series forecasting, classification for item selection, Monte‑Carlo evolutionary simulation, and practical tooling with scikit‑learn/statsmodels and vectorized computation; you’ll also learn principled evaluation (time-series CV, backtesting, calibration and cost-sensitive metrics) and how to design simulation studies that support dissertation and journal-ready results. The course emphasizes reproducible notebooks, guided problem sets, one-on-one feedback, and tangible outcomes — implementable Python artifacts and experimental designs — with all recordings and materials available for 30 days after the seminar and a certificate of completion (ECTS-equivalent points indicated for European students where shown). Find seminar details and registration on the program page. #MachineLearning #Statistics #SupplyChainManagement #Management #ComputerScience #DataScience #OperationsResearch #Economics #Python #Research #ResearchTraining #Instats