Are you ready to move beyond p-values and coefficients to make clearer, more defensible claims about relative effects? Join Ken Gerow for a two-day intensive seminar that blends rigorous exposition with hands-on work for PhD students and quantitative researchers, covering when and why relative measures matter, interpreting log-transformations, diagnostics for ratio estimands, and best practices for publishing and policy communication. You’ll leave with a practical toolkit for choosing and justifying scaling, implementing and diagnosing models that produce reliable relative measures, and translating back-transformed results into reproducible statements that withstand peer review. The workshop is delivered live via Zoom (recordings and all materials available for 30 days), includes a 30-day expert-monitored Q&A forum, and awards an Instats certificate of completion (ECTS-equivalent points shown for European participants). #Statisticalmodellingandregression #Education #Statistics #Mathematics #DataScience #Research #ResearchTraining #Instats

Are you a PhD student or researcher working with applied statistics? Join an upcoming webinar for an open exchange among applied statisticians across fields to translate on-the-job experience into better statistical practice, identify areas for improvement, and get practical tips for becoming a more proficient applied statistician. Panelists: Joan Buenconsejo, PhD, MPH (VP, Head of Cardiovascular and Neuroscience Biostatistics, Bristol Myers Squibb); Harold Gomes, MStat (Research Statistician, NIOSH/CDC); Frank Rockhold, PhD (Professor of Biostatistics and Bioinformatics, Duke University); Richard Zink, PhD (Principal Research Fellow, JMP Statistical Discovery); moderated by Mat Soukup, PhD (Division Director, Office of Biostatistics, FDA/CDER). Bring your questions and real-world challenges for an interactive conversation—register now (link in comments). #Statistics #DataScience #Biostatistics #Research #ResearchTraining #Instats

Organizational humour is more than an anecdote—it’s a theoretically rich, empirically tractable phenomenon with important implications for leadership, identity, culture, well‑being, power, and change, but it remains under‑represented in top journals largely because of conceptual and measurement slippage. Join a one‑hour workshop led by Cecily Cooper (Miami Herbert Business School) that synthesizes historical perspectives, contemporary measurement practice, and best‑practice recommendations from her recent scholarship to help PhD students, post‑docs, faculty, and professional researchers design clearer constructs, valid instruments, and stronger, publishable hypotheses about humour in organizations. The session covers quantitative, experimental, and qualitative methodological choices, concrete tips to avoid common reviewer pitfalls, and actionable skills for programmatic research; it will be livestreamed on Zoom, with recordings, slides, and seminar materials available for 30 days plus a monitored Q&A forum afterward. Participants receive an Instats certificate of completion (ECTS‑equivalent points where indicated for European students). Register or learn more today to sharpen your humour research and increase its publishability. #OrganizationStudies #Psychology #SocialTheory #Research #ResearchTraining #Instats

Level up your R skills with our CASC intermediate workshop tailored for PhD students, academics and professionals who already know the basics of R and statistics; ideal as a follow-on to our Foundations of Data Analysis with R course or for anyone with basic R experience. You’ll master RStudio, organising and merging datasets, logical conditionals and commands (if, if-else), loops and writing your own functions through hands-on examples, take-home skill challenges and expert-led instruction focused on real-world research applications. Livestream seminars are delivered via Zoom with all code, data, slides and recordings available for 30 days plus a monitored chat forum for follow-up questions; on-demand enrolments also receive 30-day access to materials. A certificate of completion (with ECTS-equivalent points for European students) is provided at the end—find out more and enrol today. #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #ResearchTraining #Instats

Advance your spatial analysis skills with a two-day, hands-on advanced workshop led by Dr Nick Bearman (UCL, Geospatial Training Solutions) using R and RStudio — ideal for PhD students, academics and professional researchers who already have experience with R and spatial data (or after completing the introductory seminar). You’ll learn practical, research-ready techniques — mapping refreshers, spatial joins, buffers, point-in-polygon, intersect/overlay operations, area-weighted joins and data manipulation — and apply them in a "Future Tram Expansion" case study to transform raw data into actionable insights. The workshop is part of a three-seminar GIS-in-R course (10% discount when you sign up for all three: https://instats.org/course/gis-in-r-a-full-course2), runs live on Zoom with all recordings, code and materials available for 30 days, includes a 30-day expert Q&A forum, and awards an Instats certificate (ECTS-equivalent noted where applicable). Register now or contact Dr Nick Bearman if you’re unsure whether your background matches the advanced level. #Geography #ComputerScience #Statistics #DataScience #SocialTheory #SocialSciences #R #RStudio #Research #ResearchTraining #Instats

Join UCLA Professor Han Du for a intensive two-day workshop on Applied Longitudinal Data Analysis designed for PhD students, professors, and professional researchers in the social and health sciences—combining theory and hands-on practice in R and SPSS to cover multilevel modeling, latent growth curve models, nonlinear change, longitudinal dyadic and multivariate change models, mediation with longitudinal data, model selection, and common challenges like non-normality. Participants should have prior working knowledge of SPSS and R; the live-streamed workshop is taught via Zoom with take-home skill challenges, and all recordings, data, outputs, slides, and an instructor-monitored forum will be available for 30 days after the seminar. A certificate of completion (ECTS equivalent indicated for European students) is provided. Register to advance your longitudinal analysis skills and apply robust methods to your research. #Psychology #Sociology #PoliticalScience #Education #Communication #Biostatistics #PublicHealth #Statistics #DataScience #R #SPSS #Research #ResearchTraining #Instats

Join UCLA Professor Han Du for a two-day workshop on Applied Longitudinal Data Analysis designed for PhD students, faculty, and professional researchers in the social and health sciences — combining theory with hands-on practice in R and SPSS (prior working knowledge required). Topics include multilevel modeling, latent growth curve models, nonlinear change, longitudinal dyadic and multivariate change models, longitudinal mediation, model selection, and practical implementation; live sessions are delivered via Zoom with take-home challenges, and all recordings, data, code, slides and a monitored seminar forum will be available for 30 days after the workshop. Participants receive an Instats certificate of completion (ECTS-equivalent indicated for European students), and both live-stream and on-demand options are available. Spaces are limited — contact the organizers for details and registration. #Psychology #Sociology #PoliticalScience #Education #Communication #Biostatistics #PublicHealth #Statistics #DataScience #R #SPSS #Research #ResearchTraining #Instats

Join a one-day hands-on workshop on single-cell RNA-seq led by Nikolay Oskolkov (Molecular Biosciences, Lund University) to master computational tools and workflows for analyzing cellular heterogeneity using R and Python — including practical sessions with Seurat and Scanpy. Designed for PhD students, academic researchers and professionals in biomedicine, biostatistics and computer science, the course covers data generation, QC and normalization, dimensionality reduction, clustering and visualization, differential expression, dataset integration, and biological interpretation through case studies. Delivered live via Zoom with take-home challenges, all recordings, code, data and slides are available for 30 days (and on-demand access is offered), and an instructor‑monitored chat forum remains open for questions; participants receive an Instats certificate of completion (ECTS equivalent noted for European students). Ideal for anyone looking to add robust single-cell analysis skills to their toolkit — register or contact us to learn more. #Biostatistics #ComputerScience #DataScience #Biology #Bioinformatics #ComputationalBiology #Biomedicine #Genomics #Statistics #MolecularBiology #R #Python #Research #ResearchTraining #Instats

Join the Useful Tools for Data Science in R workshop offered by SMCS at Université Catholique de Louvain — a hands-on seminar for PhD students, professors and research professionals to streamline reproducible research using R, GitHub, Copilot and Visual Studio Code. Participants will learn to harness GitHub and Copilot for code suggestions and collaboration, integrate R with VS Code or RStudio for a unified workflow, and manage version control and collaborative workflows with Git/GitHub to automate and boost productivity. The practical focus means you can apply new skills immediately to data processing and statistical modelling, while also connecting with a network of peers. All live sessions are streamed via Zoom, with recordings, materials and a monitored Q&A forum available for 30 days after the seminar; an Instats certificate of completion (and ECTS equivalent where indicated for European students) is provided. Find out more and enroll to upgrade your research toolset and workflows. #ComputerScience #SoftwareEngineering #DataScience #R #GithubCopilot #VSCode(withCopilot) #RStudio #Github #Research #ResearchTraining #Instats

Join a comprehensive online workshop on survival (time-to-event) analysis taught by leading experts from University College London — ideal for PhD students and researchers in the health and social sciences (non-statisticians welcome). You’ll learn Kaplan–Meier and life‑table methods, Cox regression, hazard ratios, data preparation, interaction terms, hypothesis testing, output interpretation and academic write-ups, with SPSS outputs and R/Stata code provided. The course is delivered via Zoom with daily take-home challenges, a monitored Q&A forum, and all recordings, scripts, data and slides available for 30 days; participants receive a certificate of completion (Instats) and European students can earn 2 ECTS equivalent. Advance your time-to-event analysis skills and boost your research — secure your spot today. #Epidemiology #PublicHealth #Biostatistics #Statistics #R #Stata #SPSS #Research #ResearchTraining #Instats

Are you a PhD student, academic, or research professional looking to ensure your studies are robust and reproducible? Join our CASC workshop on sample size estimation and power calculations to learn when and how to choose the right sample sizes using both precision-based (confidence interval width) and traditional power-based approaches; we cover means, proportions, rates and provide notes/spreadsheets for time-to-event data, measures of agreement and percentiles. The practical, interactive sessions include pre-programmed Excel sheets, take-home skill challenges, and clear explanations of all terminology so you can apply these methods directly to your research. Live seminars are taught via Zoom with recordings, materials and a monitored chat forum available for 30 days after the event, and on-demand enrolments include 30-day access to all videos and resources. An Instats certificate of completion is provided (ECTS-equivalent points noted for European students); spaces are limited—register or learn more via Instats. #Psychology #Sociology #PoliticalScience #Management #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Education #Statistics #DataScience #Biostatistics #Excel #Research #ResearchTraining #Instats

Join Dr. Carlton J. Fong (Dept. of Curriculum & Instruction, Texas State University) for a one-day workshop, "From Peer Reviewing to Editing Journals: Strategies and Tips for Engaging in Field‑Shaping Service," designed for PhD students and researchers who want to move from reactive gatekeeping to proactive field-building; through short lectures, live demonstrations, mock reviews, and hands-on templates you’ll learn how to write rigorous, constructive reviews efficiently, navigate ethics and conflicts of interest, build a reviewer profile, and translate reviewing experience into editorial roles and measurable career impact. Practical takeaways include review/report templates and checklists, workflows for rapid methodological appraisal, strategies for joining editorial boards or commissioning special issues, time-management tactics, and a clear plan to integrate service into your CV and job-market materials. The seminar is offered live via Zoom with recordings and materials available for 30 days after the event, a monitored Q&A forum for follow-up, and an Instats certificate of completion (ECTS equivalent where indicated). Spaces are limited—learn more and enroll to boost your scholarly service and influence in your field. disciplines #Management #Communication #Ethics #Education #SocialTheory #Research #ResearchTraining #Instats

PhD students and academic researchers: join a one-day workshop from the Centre for Applied Statistics Courses (CASC) to build a solid foundation in assessing reliability and validity for surveys, tests, and measurement tools—covering types of validity, assessing numeric and categorical outcomes, types of reliability, Bland–Altman Limits of Agreement, intraclass correlation, kappa, internal reliability, correlation, and practical assessment methods. Led by experienced instructors, the seminar combines theory with hands-on take-home challenges to help you critically assess and improve your measurement design and interpretation. Available live via Zoom (with a monitored chat forum for 30 days) and as on-demand content you can activate anytime; all Zoom recordings and materials (program input/output, data, and slides) are accessible for 30 days after the seminar. Participants receive an Instats certificate of completion (with ECTS-equivalent points noted for European students). #Psychology #Sociology #PoliticalScience #Management #Epidemiology #PublicHealth #Statistics #Biostatistics #Education #Research #ResearchTraining #Instats

Join our practical online workshop "Analysis of Variance (ANOVA)" designed for PhD students and academic researchers who want to master ANOVA within the General Linear Models (GLMs) framework using SPSS: we cover one-way, factorial, univariate, multivariate and repeated-measures ANOVA, plus model building, interpretation and reporting with hands-on example datasets. Led by experienced CASC statisticians, the course is delivered via Zoom (with take-home skill challenges) and all recordings, program input/output, data and slides are available for 30 days after the seminar; an on-demand option with the same 30-day access is also available and an instructor-monitored forum remains open for questions. Participants receive an official Instats certificate of completion (ECTS equivalent indicated for European students), practical SPSS skills, and the ability to apply ANOVA/GLM methods to improve the rigor and impact of their research—register or contact us for more details. #Psychology #PoliticalScience #Education #Management #Epidemiology #PublicHealth #DataScience #Statistics #SPSS #Research #ResearchTraining #Instats

Join our CASC workshop on the chi-square test and advanced 2x2 table analyses—designed for PhD students and academic researchers who compare proportions (e.g., % positive between treatments or subgroups). You’ll learn when the chi-square is appropriate and explore alternatives and interpretable measures including Fisher’s exact test, tests of proportions, absolute risk reduction, number needed to treat, relative and attributable risk, odds ratios, kappa, sensitivity and specificity, predictive values, and likelihood ratios—delivered with hands-on examples and take-home skill challenges. Taught by leading experts in applied statistics, the course balances theory and practice, with live Zoom seminars (and on-demand enrollment) plus all recordings, data, code and slides available for 30 days and a monitored Q&A forum after the course. Participants receive an Instats certificate of completion (ECTS-equivalent points indicated for European students). Register now to strengthen the rigor and interpretability of your categorical-data analyses. #Psychology #PoliticalScience #Education #Epidemiology #PublicHealth #Biostatistics #Statistics #Research #ResearchTraining #Instats

Missing data can undermine the validity of any research study—join the Centre for Applied Statistics Courses (CASC) at UCL for the "Dealing with Missing Data" workshop to learn how to identify missing data mechanisms, avoid biased approaches, and apply robust solutions (including single and multiple imputation) through theory and real-world case studies. Designed for PhD students, professors and professional researchers across disciplines, the course includes optional hands-on software days with SPSS, Stata or R (basic familiarity required for these sessions), live Zoom teaching with 30-day access to recordings/materials, a monitored post-seminar forum, and an Instats certificate of completion (ECTS equivalent noted for European students). Improve the credibility of your results and your confidence handling incomplete datasets—visit the CASC/UCL course page to learn more and register. #Education #Marketing #Finance #PublicHealth #Biostatistics #ClinicalorLaboratoryScience #PharmaceuticalScience #Engineering #ComputerScience #SoftwareEngineering #Statistics #DataScience #Mathematics #Stata #R #SPSS #MATLAB #Research #ResearchTraining #Instats

Are you a PhD student, professor, or researcher who wants to master modelling binary outcomes? Join the Centre for Applied Statistics Courses (CASC) at University College London for a one-day workshop, "Introduction to Logistic Regression," designed to give you hands-on experience with data preparation, model fitting, interpretation (coefficients, odds ratios, goodness-of-fit), diagnostics, interaction terms and multicollinearity so you can confidently apply logistic regression in your research. Delivered via Zoom with a monitored seminar chat, take-home challenges, and all recordings/materials available for 30 days after the live session (on-demand access also available), this practical course culminates in an Instats certificate of completion (ECTS equivalent indicated for European students). Enrol now to strengthen your analytical toolkit and communicate your results with greater confidence. #Biostatistics #ComputerScience #SoftwareEngineering #Statistics #StatisticsEducation #ComputationalStatistics #Statisticalmodellingandregression #DataScience #Research #ResearchTraining #Instats

Join our practical SPSS workshop designed for PhD students, researchers and professionals who want to learn or refresh data manipulation and analysis skills—no prior SPSS experience required. Through hands-on instruction you’ll learn to create and edit datasets (manual and Excel import), use SPSS functions and options, run descriptive and graphical analyses, and perform parametric and nonparametric tests so you can confidently input, manage, analyze and interpret data for research projects and reports. Delivered via Zoom with take-home skill challenges, all livestream sessions include recordings, data, slides and instructor support in a monitored chat forum for 30 days after the seminar; on-demand access is also available for 30 days after activation. Participants receive an Instats certificate of completion (ECTS equivalent noted for European students); boost your research capability and employability—find out more and enroll today. #Psychology #Sociology #PoliticalScience #Education #Management #Epidemiology #PublicHealth #DataScience #Statistics #SPSS #Research #ResearchTraining #Instats

Join Kenneth Benoit (Professor of Computational Social Science, SMU) and Seraphine Maerz (Senior Lecturer, University of Melbourne) for an intensive one-day workshop that shows how large language models and AI tools can transform qualitative research—using accessible, publication-ready workflows in R. You’ll get hands-on demos and exercises (no prior R experience required) demonstrating quallmer and ellmer for annotating text, images, audio, video, PDFs and tabular data, connecting to OpenAI, Google, Anthropic and open-source models (e.g., Ollama), designing reliable prompts, building reproducible RStudio pipelines, and addressing ethics, privacy, validation and best practices. Sessions are live via Zoom with 30-day access to recordings, materials and a monitored Q&A forum; all participants receive a certificate of completion (ECTS-equivalent points shown for European students). Bring a laptop with R and RStudio installed to follow along (setup instructions provided), or attend asynchronously with the provided code and demos—register to secure your place. disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #R #RStudio #Research #ResearchTraining #Instats

Unlock the power of genomics for ecological and evolutionary research in an intensive online workshop led by Prof. Giulio Formenti (Vertebrate Genome Lab, The Rockefeller University) and Dr. Guido Gallo (Department of Biosciences, University of Milan). Designed for PhD students, academics and professional researchers, the course combines theory and hands‑on practice—from Sanger and next‑generation sequencing to third‑generation long reads—and covers practical workflows such as searching public databases, downloading reference genomes, alignments (Bowtie2, Minimap2), processing with Samtools, variant calling (Freebayes), visualisation (IGV) and draft assembly inspection (Bandage). Sessions are livestreamed via Zoom, with recordings, materials and an expert‑monitored Q&A available for 30 days after the seminar; participants receive an Instats certificate of completion (ECTS‑equivalent where indicated). Gain the bioinformatics skills and practical experience to analyze real sequencing data, integrate genomic insights into your research, and connect with peers—register now to secure your spot. #Genetics #Biology #Genomics #MolecularBiology #EvolutionaryBiology #Ecology #Bioinformatics #Bash #Research #ResearchTraining #Instats

Fine-tuning large language models (LLMs) is now an essential methodological tool for researchers who need reliable, reproducible insight from domain-specific text — join Dr Seraphine Maerz (University of Melbourne) for a one-day online workshop that blends concise conceptual overviews with guided, user-friendly Jupyter/Colab notebooks in Python and R (no prior Python or R experience required, but participants should be prepared to work hands-on with code). You’ll learn when to fine-tune versus using prompt engineering, data preparation and ethical practices, hands-on fine-tuning of open-source encoder models, parameter-efficient LoRA tuning, building and comparing classification heads, evaluation and error analysis, and reproducibility best practices so you leave with reproducible code, evaluation pipelines and clear decision rules tailored to your research. The seminar is aimed at PhD students, professors and professional researchers across Health Sciences, Political Science and the Social Sciences; sessions are livestreamed via Zoom, recordings and all materials are available for 30 days, a monitored Q&A forum is open after the event, and an Instats certificate of completion (with ECTS-equivalent points where indicated) is provided. Enroll now to upskill your research workflow and apply robust fine-tuning strategies to your own corpus. disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

Join the Centre for Applied Statistics Courses (CASC) at UCL for a one-day intensive, interactive online workshop that teaches PhD students, postdocs, academics and experienced data scientists how to read, interrogate and improve quantitative research from first principles. Through short lectures, real-time critiques of exemplar papers and small-group appraisals you will learn to align research questions with estimands, diagnose bias and design flaws, evaluate designs and inferential claims, apply reporting checklists, assess reproducibility, and translate critical appraisal into stronger study designs, clearer reporting and more defensible analyses. No specific software skills are required; participants will receive appraisal templates, reporting summaries and a curated reading list, and will leave able to deconstruct manuscripts section-by-section, run appropriate diagnostics and produce actionable feedback to improve theses, manuscripts, peer reviews and grant applications. The seminar is delivered live via Zoom (recordings and all materials available for 30 days after the event) and includes a monitored Q&A forum and a certificate of completion (ECTS-equivalent points indicated where applicable). Spaces are limited—visit the UCL CASC website to learn more and register. #ComputationalStatistics #DataAnalytics #DataScience #Statistics #InformationScience #Education #Mathematics #Biostatistics #Research #ResearchTraining #Instats

Join Surette van Staden (Institute for Teacher Education, University of Innsbruck) for a one-day workshop, "Questionnaire Design Principles and Practices: Examples from International Large-Scale Assessments (ILSAs)," tailored for PhD students, post-docs, faculty and professional researchers in education and mixed-methods inquiry — learn how well-designed questionnaires operationalize theory, ensure cross-cultural comparability, and protect the integrity of analysis using practical examples from PIRLS and other ILSAs. The seminar takes you through the full pipeline—conceptual frameworks, item writing, translation and cultural adaptation, cognitive interviewing, piloting, and links to scaling/IRT and measurement considerations—plus hands-on peer review so you leave with draft items, piloting templates, and a clear plan for analysis and documentation. Delivered live via Zoom with recordings and all materials available for 30 days and a monitored Q&A forum, the course includes a certificate of completion (ECTS equivalent shown for European students) and practical tools to strengthen proposals, ethics applications, and publishable instruments. Find full details and registration on the Instats website. #Education #MixedMethods #SocialTheory #Statistics #Research #ResearchTraining #Instats

Join Dr Hadi Fariborzi for a one-day immersive workshop that equips PhD students, academics, and professional researchers 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 move from minimal coding experience to a complete AI-assisted mini research project in a day—importing and cleaning data, running classical and advanced models (ANOVA, regression, multilevel models, SEM), performing thematic qualitative coding, and scaling large‑scale text‑mining and ML pipelines—while preserving methodological rigor, reproducibility, and transparent documentation. Every session emphasizes reproducible workflows (exportable notebooks and reports), an AI prompt library and debugging strategies, and deliverables you can reuse in theses, grants, or teaching (Colab/Posit notebooks, datasets, cheat-sheets, and exportable HTML/PDF reports). The seminar is livestreamed via Zoom, includes recordings and all materials for 30 days after the event, offers an Instats certificate of completion (ECTS equivalent indicated where shown), and is ideal for researchers who want to accelerate productivity without sacrificing critical judgment. Spaces are limited—register now to secure your place and gain hands-on, career-relevant skills for analyzing both structured and unstructured research data. disciplines #SocialTheory #Psychology #Education #ComputerScience #SoftwareEngineering #Statistics #DataScience #Python #R #GoogleColab #PositCloud #Research #ResearchTraining #Instats

Join a three-day workshop taught by Professor Moses Boudourides (Data Science Graduate Program, Northwestern University) that demonstrates how Large Language Models and Knowledge Graphs can be combined to transform scholarly synthesis and theoretical discovery. Through three hands-on sessions—LLM-augmented KG construction, automated systematic reviews, and theory mapping—you’ll work with executable Python Jupyter notebooks and sample datasets to build reproducible pipelines for literature discovery, screening, extraction, KG construction and visualization, evaluation and uncertainty quantification, and human-in-the-loop workflows to reduce hallucination risk. Designed for PhD students, faculty, and researchers across AI, data science, management, information science and other fields, the course covers schema/ontology design, entity/relation extraction, embeddings and semantic search, graph storage and visualization, provenance and ethics; recommended prerequisites are working knowledge of Python and basic ML/LLM familiarity. Seminars are livestreamed via Zoom, recordings and materials (plus a monitored Q&A forum) are available for 30 days after the workshop, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). disciplines #ArtificialIntelligence #BibliometricResearch #ComputationalSocialScience #ComputerScience #DataScience #InformationScience #MachineLearning #Management #Multidisciplinary #SocialTheory #Linguistics #Python #Research #ResearchTraining #Instats