Join the Association of Statistics Students of Nigeria (ASSON) for the National Statistics Students Conference—a free, virtual event in partnership with the American Statistical Association that brings undergraduate statistics students from across Nigeria and beyond to explore the powerful role of statisticians in today’s digital world. The program features undergraduate poster showcases, a student roundtable on "Change-Making from Campus," awards and closing ceremonies, networking opportunities and digital certificates for participants, and an inspiring keynote by ASA President Ji-Hyun Lee, "The Future Belongs to Statisticians." Whether you’re just starting your statistics journey or planning your next steps, this conference is a great chance to showcase your research, learn from peers and leaders, and build connections—register for free and join the conversation. #Biostatistics #Statistics #DataScience #Ethics #Education #Research #ResearchTraining #Instats

Join Dr Hadi Fariborzi for a one-day, immersive workshop that teaches PhD students, academics, and professional researchers how to use AI as a practical coding and interpretation partner in both Python (Google Colab) and R (Posit Cloud). Through guided, hands-on examples you’ll build a complete AI-assisted mini research project—importing and cleaning data, running classical and advanced models (ANOVA, regression, multilevel models, SEM), doing thematic qualitative analysis and large-scale text mining, and producing reproducible narrative reports—while learning prompt strategies, debugging, and ethical documentation. Participants leave with downloadable Colab/Posit notebooks, an AI prompt library, cheat-sheets, exportable reports, and the judgment to audit AI-generated code and interpret model outputs; livestreams, recordings, and a monitored Q&A forum are available for 30 days after the seminar, and an Instats certificate (with ECTS equivalents where shown) is provided on completion. Register to gain transferable, career-relevant skills for thesis work, grant projects, teaching, and collaborative reproducible research. disciplines #SocialTheory #Psychology #Education #ComputerScience #SoftwareEngineering #Statistics #DataScience #Python #R #GoogleColab #PositCloud #Research #ResearchTraining #Instats

Join an intensive two-day online workshop to master causal inference from first principles to modern causal ML: learn counterfactuals, DAGs, RCTs/IV/DiD design and diagnostics, and state-of-the-art estimators like Double Machine Learning and causal forests — all with hands-on R sessions and integrated LLM-assisted prompting for checks, placebo tests, variable engineering, and clear visual explanations of heterogeneous effects. Designed for researchers, practitioners, and policymakers who want to move beyond prediction, the course emphasizes study design, threat diagnosis, low-programming implementations, and practical reporting of assumptions and policy relevance; live via Zoom with take-home challenges, recordings, code, data, slides, and a monitored chat forum available for 30 days after the seminar. Participants receive a certificate of completion (ECTS equivalence noted for European students); basic comfort with statistics/regression helps but is not required. Learn more and enroll to sharpen your ability to estimate and explain causal effects reliably. #ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #Research #ResearchTraining #Instats

Machine learning is now an essential research tool — join Dr Niamh Mimnagh (PR Stats) for a five-day, hands-on workshop introducing practical ML in R for PhD students, academics and professional researchers. Through live coding, worked examples and guided exercises you’ll learn modern workflows (tidymodels, caret), implement supervised and unsupervised methods (glmnet, xgboost, nnet, clustering, PCA/t-SNE), perform hyperparameter tuning and resampling, and build interpretable, publication-ready models with reproducible code and presentation-ready figures using ggplot2 and RMarkdown. The course also covers regularisation, model evaluation (RMSE, AUC, F1), handling missing data and class imbalance, time-series features, and interpretability tools (variable importance, partial dependence, SHAP-style), plus practical guidance on when ML adds value versus traditional approaches. All sessions are livestreamed via Zoom, recordings and materials are available for 30 days with a monitored Q&A forum, and participants receive a certificate of completion (ECTS-equivalent points shown for European students). Ideal for researchers who want to design and justify end-to-end ML analyses for publication — limited spaces, find out more and enroll today. #HealthSciences #NaturalSciences #SocialSciences #Education #ComputerScience #Statistics #DataScience #R #Research #ResearchTraining #Instats

Join Adam Berinsky (MIT Political Experiments Research Lab) for a comprehensive 3-day online workshop on designing effective surveys—essential training for PhD students, academics, and professional researchers who rely on survey data for policy, health, social science, or organizational research. Through lectures, hands-on Qualtrics sessions, group critique and peer feedback, you’ll learn to craft reliable questions, avoid common pitfalls, master sampling basics, implement web surveys, and clearly communicate results so your research stands up to scrutiny. The seminar is livestreamed via Zoom with all recordings and materials available for 30 days, a monitored Q&A forum for ongoing support, and a certificate of completion (ECTS equivalent noted for European students). Elevate your survey skills and produce higher-quality, more impactful research—register to secure your spot. #Psychology #Sociology #Economics #PoliticalScience #PublicPolicy #Education #Management #Marketing #DataScience #Law #Medicine #Multidisciplinary #Statistics #SocialTheory #Qualtrics #Research #ResearchTraining #Instats

Join a three-day hands-on workshop with Prof. Brady T. West (Survey Research Center, University of Michigan) on analyzing complex sample survey data in R (RStudio), SAS, and Stata. Designed for PhD students, faculty, and professional researchers, the seminar emphasizes applied problem solving with real survey datasets and reproducible workflows, covering survey weights and calibration, stratification and clustering, variance estimation (Taylor linearization and replicate methods), survey-weighted regression and multilevel models, and missing-data strategies so you can produce valid, defensible results for dissertations, grant-funded projects, and publications. All sessions are livestreamed via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and an Instats certificate of completion (ECTS equivalents shown where applicable) provided to participants. Register now to build practical skills for rigorous, reproducible survey inference. #Demography #Epidemiology #PopulationHealthScience #PublicHealth #ResearchinHealthSciences #SocialSciences #Statisticalmodellingandregression #Statistics #StatisticsEducation #SurveyDesign #SurveyStatistics #DataScience #Biostatistics #R #RStudio #SAS #Stata #Research #ResearchTraining #Instats

Join Professor Holmes Finch (Ball State University) for a focused one-day workshop on nonlinear structural equation modeling (SEM) designed for PhD students and applied researchers in biostatistics, econometrics, education, psychology, psychometrics, and data analytics — ideal for anyone who needs to model latent interactions, threshold effects, nonlinear growth, and other complex relations that linear SEM cannot capture. This hands-on seminar balances concise conceptual lectures with extended coding sessions in R (lavaan, OpenMx, semTools) and Mplus, providing working scripts, example datasets, and concrete strategies for model specification, identification, estimation (ML and Bayesian), diagnostics, convergence troubleshooting, handling missing/complex sampling, model comparison, and interpretation (including plotting and probing interactions). Materials, recordings, and a monitored Q&A forum are available for 30 days after the seminar, and participants receive an Instats certificate of completion (ECTS equivalent where indicated). Prior familiarity with basic SEM concepts and R is recommended but not required — by the end of the day you’ll be able to build and diagnose nonlinear SEMs ready for dissertations, grant proposals, and publications; register or learn more to reserve your spot. #Biostatistics #DataAnalytics #Econometrics #Education #Psychology #Psychometrics #Statisticalmodellingandregression #Statistics #R #Mplus #Research #ResearchTraining #Instats

Join a three-day intensive online workshop on researching work led by Adia Harvey Wingfield (Department of Sociology, Washington University in St. Louis), designed for PhD students, faculty, and professional researchers; the seminar situates empirical strategies within debates on organizations, professions, labor markets, and inequality and covers topics including conceptualizing “work,” ethnography and participant observation, interviews, survey and measurement design, qualitative and mixed-methods approaches, research ethics, and translating findings into publishable articles and policy-relevant outputs—with particular attention to dynamics such as discrimination, tokenism, and wage gaps. Participants will leave with sharper, theoretically grounded research questions, clearer and feasible methodological plans, and practical guidance on ethics and dissemination; while not a step-by-step methods training, the workshop highlights what questions, data, and contributions different methodological tools can yield. All sessions are livestreamed via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and attendees receive an Instats certificate of completion (ECTS-equivalent points indicated on certificates where shown). #OrganizationStudies #Sociology #PublicPolicy #SocialTheory #Research #ResearchTraining #Instats

PhD students and researchers: sharpen your science writing and storytelling skills with the editorial team from the Observer, the online news magazine of the Association for Psychological Science. Managing Editor Hannah Brown and Digital Content Manager Lou Willwood will share practical tips for creating engaging, accessible science communication and will take your questions live—bring your research ideas and they’ll help you brainstorm how to tell your own science story. #Psychology #ScienceCommunication #Education #Communication #Research #ResearchTraining #Instats

Join a one-day intensive online workshop from the Centre for Applied Statistics Courses (CASC) at University College London designed to sharpen your ability to read, interrogate and improve quantitative research in computational statistics and data science. Through short targeted lectures, hands-on group critiques of exemplar papers, and practical demonstrations you will learn how to align study design and analysis with estimands, diagnose bias and analytic pitfalls, apply reporting checklists, evaluate reproducibility, and produce actionable revisions for manuscripts, thesis chapters and grant proposals. Ideal for PhD students, postdocs, academics and experienced practitioners with basic familiarity with statistical inference (no specific software required). Sessions are livestreamed via Zoom with all recordings and materials available for 30 days; participants receive appraisal templates, a curated reading list and a certificate of completion (ECTS-equivalent points shown where applicable). Places are limited — register today to build stronger, more credible research. #ComputationalStatistics #DataAnalytics #DataScience #Statistics #InformationScience #Education #Mathematics #Research #ResearchTraining #Instats

Advance your research with UCL’s Centre for Applied Statistics Courses (CASC) 5-day intensive "Introduction to Research Methods and Statistics" workshop designed for PhD students, academics and professional researchers seeking practical, hands-on training in core statistical methods. This instructor-led program blends theory and applied work across topics including data collection and experimental design, descriptive statistics and visualization, hypothesis testing, correlation and regression, multivariate analysis, reproducible workflows, statistical software, model evaluation and research ethics, equipping you to choose appropriate tests, interpret outputs and communicate results confidently. Delivered live via Zoom with take-home challenges, a monitored chat forum, and all recordings/materials available for 30 days afterward (on-demand access also available), the course awards an Instats certificate of completion with ECTS equivalent indicated for European students. Spaces are limited—visit the CASC/UCL course page to learn more and register. #Demography #ComputerScience #StatisticsEducation #Business #ComputationalStatistics #HealthEconomics #SocialSciences #InformationSystems #PopulationBiology #ComputationalSocialScience #DigitalHumanities #History #Statisticalmodellingandregression #CulturalEconomics #PublicHealth #Education #Epidemiology #Biostatistics #Statistics #DataScience #Research #ResearchTraining #Instats

Calling all PhD students, professors and professional researchers: join the Centre for Applied Statistics Courses (CASC) at UCL for a three-day workshop, "Introduction to Regression Analysis," designed to build practical, research-ready skills in linear and generalized regression (including logistic and Poisson), diagnostics, model selection, interactions and categorical variables. Through hands-on exercises in Stata, R and SPSS you’ll learn to run, diagnose and interpret robust models, apply techniques to real-world datasets, and communicate results clearly for publication or thesis work; an optional applied session and dataset are included so you can practice across packages. The seminar is delivered live via Zoom with take-home challenges, a monitored chat forum and recordings/materials available for 30 days after the course, and participants receive an Instats certificate on completion (with ECTS-equivalent points indicated for European students). Enhance the rigor and impact of your research—spaces are limited, so find out more and secure your place today. #Demography #ComputerScience #StatisticsEducation #Business #ComputationalStatistics #HealthEconomics #SocialSciences #InformationSystems #PopulationBiology #ComputationalSocialScience #DigitalHumanities #History #Statisticalmodellingandregression #CulturalEconomics #Biostatistics #DataScience #Statistics #Econometrics #Stata #R #SPSS #Research #ResearchTraining #Instats

Join a four-day intensive online workshop taught by Charles Crabtree (Dartmouth) to learn how to treat space as a core dimension of theory, measurement, and causal inference—designed for PhD students, academics, and professional researchers. Through hands-on R labs (sf, raster/terra, tmap/ggplot2, tidyverse) you’ll cover data acquisition and cleaning, map design, geoprocessing and spatial joins, geocoding, spatial statistics (Moran’s I, hotspot detection), and reproducible workflows, alongside conceptual grounding (CRS, MAUP, spatial dependence) and ethical considerations. All sessions are livestreamed via Zoom, with recordings, code, and datasets available for 30 days and a monitored Q&A forum for post-course support; participants receive a certificate of completion (ECTS-equivalent indicated where applicable). Gain concrete, reproducible skills to incorporate spatial thinking into your dissertation, publications, and policy-relevant research—learn more and enroll today. #ComputationalSocialScience #PoliticalScience #SocialSciences #Sociology #SocialPolicy #ResearchMethods #PublicPolicy #ComputerScience #Geography #Statistics #DataScience #R #Research #ResearchTraining #Instats

Join our online seminar for PhD students and researchers on effective communication—focused on listening and writing skills that help statisticians and applied researchers translate scientific questions into well-defined statistical problems and clearly explain how results address those questions. The seminar features Roderick J. Little (University of Michigan), an expert on missing-data methods and statistical writing, and Robin Mejia (University of Washington), an applied biostatistician with a background in science journalism, and will be moderated by Sahar Zangeneh (Radicle Science). Offered live via Zoom with recordings, slides, and materials available for 30 days after the event and an online Q&A forum monitored for 30 days; participants receive an Instats certificate of completion (ECTS equivalent where indicated). Register now or attend on-demand if you can’t join live. #DataScience #Statistics #Biostatistics #Communication #Research #ResearchTraining #Instats

Join Professor Charles Crabtree (Dartmouth) for a four-day live Zoom workshop (four 1.5-hour sessions) that demonstrates how Large Language Models—together with reproducible R workflows—can transform experimental treatment design. Designed for PhD students, faculty, and applied researchers, the seminar combines conceptual grounding and hands-on practice with ChatGPT and R to teach prompt engineering, multi-version vignette generation, chat-based interventions, automated lexical/readability checks, validation pipelines, preregistration, and ethics. Participants leave with prompt templates, R scripts and notebooks, a workbook of exercises, ready-to-run examples, and an Instats certificate (ECTS equivalent where shown); recordings and all materials are available for 30 days after the seminar and a monitored Q&A forum runs for post-course support. Gain practical, publishable skills to build transparent, reproducible pipelines, anticipate threats like lexical imbalance and model drift, and document LLM-assisted treatments for IRBs and publication—register now to reserve your spot. #ComputationalSocialScience #PoliticalEconomy #PoliticalScience #PublicPolicy #SocialPolicy #Sociology #ComputerScience #Statistics #SocialTheory #ChatGPT #R #Research #ResearchTraining #Instats

Join our interactive online seminar for PhD students and professional researchers that critically examines the research logics and worldviews behind selected macro-level (Upper Echelons, Institutional Theory, Resource-Based View) and micro-level (Goal-Setting, Leadership styles, HRM practices) management theories. This meta-theoretical course goes beyond an introductory overview to focus on causal explanation, interpretation of meaning, and how value-neutral versus reality-constructing worldviews affect the usefulness of integrative reviews and evidence-based management—equipping early- and later-stage doctoral students with a sharper, transferable critical toolkit. Sessions are highly interactive and reading-based, delivered live via Zoom with plenary and small-group discussions; all recordings, slides and materials are available for 30 days after the seminar and an expert-moderated Q&A forum remains open for the same period. A certificate of completion (and ECTS equivalent where shown) is provided. Learn more and register here: [link] #HumanResourceManagement #Leadership #Management #OrganizationalBehavior #OrganizationStudies #SocialTheory #Research #ResearchTraining #Instats

Advance your R skills with our CASC workshop designed for PhD students, academics and professionals who already know the basics of R and statistics: learn RStudio, organizing and merging datasets, conditional logic and commands (if/else), loops, and how to write your own functions—all with a focus on real-world research applications. Taught by experienced instructors, the seminar is offered live via Zoom (with take-home challenges and a monitored chat forum for 30 days) and on-demand options; all recordings, code, data and slides are available for 30 days after the session. Participants receive an Instats certificate of completion (ECTS Equivalent indicated for European students). Learn more and register today. #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #ResearchTraining #Instats

Join the Centre for Applied Statistics Courses (CASC) at University College London for an intensive R workshop designed to empower PhD students, professors and professional researchers (e.g., Biostatistics, Data Science, Computational Biology) with practical skills in R and RStudio—covering data import and cleaning, exploratory data analysis, visualization, mainstream statistical tests, script writing and interpreting R output. Delivered live via Zoom with take-home challenges (and an on‑demand option), all recordings and materials are available for 30 days and an instructor‑monitored forum stays open for questions; participants receive an Instats certificate of completion (ECTS-equivalent indicated for European students). Boost the quality and efficiency of your research by gaining hands-on experience with real datasets and proven statistical workflows—visit the CASC (UCL) course page to enrol or find out more. #Biostatistics #SoftwareEngineering #Statistics #DataScience #ComputationalBiology #StatisticsEducation #Statisticalmodellingandregression #Education #InformationScience #Bioinformatics #R #Research #ResearchTraining #Instats

Join Dr Nick Bearman (University College London & Geospatial Training Solutions) for a free introductory GIS seminar tailored for PhD students, academics and professional researchers — learn core GIS concepts, types and sources of spatial data, effective visualization, spatial analysis techniques, common software platforms, best practices for data management, and how to integrate geospatial tools into your research with hands-on guidance. The live workshop is delivered via Zoom with all recordings and materials available for 30 days after the event, plus a monitored Q&A forum for 30 days and an Instats certificate of completion (ECTS-equivalent points shown for European students where applicable). If you want to go further, Dr Bearman also offers two multi-part courses — QGIS: A Full Course (https://instats.org/course/qgis-a-full-course2) and GIS in R: A Full Course (https://instats.org/course/gis-in-r-a-full-course2) — each available with an automatic 10% discount. Register or find out more at instats.org and give your research a spatial edge. #Geography #InformationSystems #SpatialEcology #Ecology #EarthScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats

Join Prof. Melvyn Weeks (University of Cambridge) for an intensive two-day workshop on causal machine learning designed for PhD students, academics and professionals who want to move beyond correlation to credible causal inference. Over eight hands-on sessions you will learn high-dimensional regularisation (lasso, double lasso), Double Selection and Double/Debiased ML (DDML), tree- and forest-based treatment-effect estimation, and how to connect classical econometric identification with modern ML—using worked notebooks and sample data in Python, R and Stata. Sessions are livestreamed via Zoom, all recordings and materials (code, data and slides) plus a monitored 30-day Q&A forum are available after the course, and participants receive a certificate of completion (ECTS-equivalent where indicated). This workshop builds on material taught with Jeff Wooldridge and will give you the conceptual shift and practical toolkit to apply rigorous causal ML methods in your research—register to secure your place. #SocialSciences #HealthSciences #NaturalSciences #SocialTheory #ComputerScience #Economics #Statistics #DataScience #ChatGPT #Python #R #Stata #Research #ResearchTraining #Instats

Join our webcast examining design-based versus model-based estimation in the common “all or nothing” setting (y = x with probability p, otherwise 0), with a focus on tax applications and small-area estimation. We’ll cover the theoretical foundations of model-based approaches, show simulations comparing their performance to design-based methods (Mean Per Unit / Horvitz‑Thompson and the difference estimator), and discuss practical trade-offs, assumptions, and implications for rigorous empirical research and policy analysis. The seminar is livestreamed via Zoom and all recordings, slides, code, and data will be available for 30 days after the session (on-demand enrolments also receive 30 days of access). Ideal for PhD students, survey statisticians, and researchers — join us live or watch on demand. #Statisticalmodellingandregression #Statistics #SurveyStatistics #Economics #Mathematics #Research #ResearchTraining #Instats

Advance your research skills with our practical online seminar on Hospital Episode Statistics (HES): learn how HES are collected, coded and structured, how to clean, manage and analyse HES data in R or Stata, and how to handle data inconsistencies, anonymity and confidentiality for robust academic and applied work. Delivered via lectures and hands-on practicals using simulated data (scripts provided), the course is ideal for researchers and data analysts in academia, government and the private sector—no lecture prerequisites. Sessions are offered live via Zoom and on-demand, with all recordings, materials and a monitored Q&A forum available for 30 days after the seminar; participants receive an Instats certificate of completion (ECTS equivalents shown for European students where applicable). Find out more and enroll at Instats. #Epidemiology #Healthcare #PublicHealth #Biostatistics #DataAnalytics #DataScience #administrativedata #InformationScience #R #Stata #Research #ResearchTraining #Instats

Causal mediation analysis is essential for understanding not just whether an effect exists but how, how much, and under what conditions it operates—yet traditional mediation methods often rely on unrealistic assumptions. In this two-day online workshop led by Prof. Paola Zaninotto and Martin Danka (University College London), PhD students, academics and professional researchers in the social, health and life sciences will gain both the theoretical foundations of counterfactual causal mediation and practical skills to implement these methods in R and Stata. Topics include limitations of traditional approaches, counterfactual concepts, key identification assumptions, natural and interventional effects, g-computation, proportion mediated, handling complex confounding, and critical appraisal of assumptions, all taught through lectures and hands-on practicals. The course is accessible to those new to advanced mediation techniques as well as those seeking to deepen their expertise; sessions are livestreamed via Zoom, with recordings, code and materials available for 30 days after the workshop, a monitored Q&A forum for follow-up, and an Instats certificate of completion (with ECTS-equivalent points for European students where indicated). Find out more and register to build more rigorous, actionable causal analyses for your research. #Psychology #Sociology #Economics #PoliticalScience #Education #Epidemiology #PublicHealth #Biostatistics #Statistics #Stata #R #Research #ResearchTraining #Instats

PhD students and professional researchers: join Professor Giovanni Cerulli for an intensive 2‑day online seminar that introduces modern machine learning and AI for social, economic and health research, with hands‑on Python sessions and an innovative use of ChatGPT as both a coding assistant and a didactic tool. You’ll cover core topics from supervised learning, model selection and regularization to classification, discriminant analysis, nearest neighbors and neural networks, learning to balance prediction and interpretability, detect important factors and extract signal from noise using real-world examples. The course is taught via Zoom, includes daily take‑home challenges, all code/data/slides and recordings available for 30 days, an online Q&A forum, and a certificate of completion (2 ECTS equivalent for European students). Perfect if you want practical, research‑ready ML/AI skills and strategies to integrate generative AI into your daily workflow. #InformationScience #ArtificialIntelligence #ComputerScience #Statistics #DataScience #SoftwareEngineering #Python #Research #ResearchTraining #Instats

AI for Data Visualization and Dashboards — a one-day, hands-on workshop led by Dr. Hadi Fariborzi — teaches PhD students and academic researchers how to turn raw data into AI-assisted, publication-ready visualizations and cross-platform dashboards using ChatGPT together with Power BI, Tableau, Python, and R. Through four realistic micro-projects (quantitative distributions and relationships, temporal and spatial trends, qualitative text analysis, and mixed-method dashboards) you’ll practice scripting, prompt engineering, automated data prep, reproducible charting, and AI-generated captions and narratives that meet peer-review and stakeholder expectations. Expect practical takeaways: a multi-page interactive dashboard, code snippets, a prompt library, a best-practices checklist, 30-day access to recordings and materials, a monitored Q&A forum, and a certificate of completion (ECTS-equivalent where indicated). Join us to accelerate the path from data to defensible, shareable research outputs — register or contact us to learn more. disciplines #ComputerScience #Statistics #DataScience #ChatGPT #PowerBI #Python #R #Tableau #Research #ResearchTraining #Instats