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Join our online seminar on Programming and Plotting in Python for Researchers, designed specifically for PhD students, postdoctoral researchers, and professional academics working with tabular, longitudinal, cross-sectional, panel, or multivariate data. Taught by The Carpentries, this hands-on workshop focuses on the practical Python skills researchers need to build reliable, reproducible, and publication-ready analysis workflows. Participants will learn how to set up a scientific Python environment, import and clean data with pandas, automate repetitive tasks with loops and functions, handle missing values and data types, debug code, and create clear, publication-quality figures using Matplotlib and Seaborn. With exercises based on proven Carpentries teaching materials and adapted for real research contexts, the seminar balances conceptual understanding with practical implementation, helping participants improve data wrangling, reproducibility, collaboration, and graphical communication for dissertations, manuscripts, and funded research projects. All livestreaming seminars are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and participants receive an official Instats certificate of completion, with ECTS Equivalent points available where shown. #DataScience #ComputerScience #Education #Statistics #SoftwareEngineering #Python #Research #ResearchTraining #Instats

Unlock the potential of web-derived data for rigorous, publishable research in this online seminar designed for PhD students, postdoctoral researchers, and professional academics. Led by Moses Boudourides of the Data Science Graduate Program, School of Professional Studies, Northwestern University, the seminar offers a research-focused introduction to web scraping and structured data collection, covering how to identify suitable online sources, extract and parse data from static pages, APIs, dynamic content, HTML, JSON, and other formats, and transform messy outputs into analysis-ready datasets. Participants will learn practical no-code and programmatic workflows in Python and R, alongside essential strategies for reproducibility, documentation, validation, ethical and legal decision-making, rate limiting, provenance tracking, and reviewer-ready metadata. With hands-on examples, reusable templates, and guidance for adapting workflows to individual research projects, this seminar helps researchers strengthen empirical chapters, articles, and grant-funded projects with transparent, defensible data collection pipelines. Delivered via Zoom with recordings, materials, and expert Q&A access available for 30 days, the seminar also includes an official Instats certificate of completion. #AppliedResearch #ComputationalSocialScience #DataScience #DataScraping #Finance #HealthSciences #LifeSciences #Statistics #ComputerScience #InformationScience #Python #R #Research #ResearchTraining #Instats

Vous souhaitez mieux intégrer les données désagrégées et les approches intersectionnelles à vos projets de recherche? Ce séminaire en ligne présente le Carrefour des statistiques sur le genre, la diversité et l’inclusion (SGDI) de Statistique Canada comme une ressource essentielle pour les doctorantes et doctorants, postdoctorantes et postdoctorants, ainsi que les chercheuses et chercheurs professionnels qui travaillent sur l’équité, les inégalités sociales, la santé, le travail, l’éducation, les politiques publiques ou les populations sous-représentées. Animé par François Marshall, dont l’expertise au sein de Statistique Canada offre un accès privilégié aux cadres de production, de diffusion et d’interprétation des données officielles, ce séminaire aidera les participantes et participants à repérer les sources pertinentes, comprendre les catégories et indicateurs du SGDI, évaluer les possibilités de comparaison entre groupes, interpréter les limites méthodologiques liées aux petits effectifs et aux catégories sensibles, et intégrer ces ressources dans des thèses, articles, rapports ou demandes de financement. Offert en direct sur Zoom, avec accès aux enregistrements, au matériel et à un forum de questions-réponses pendant 30 jours, ce séminaire vise à renforcer la transparence, la robustesse et la crédibilité des analyses quantitatives contemporaines. #Statistics #Sociology #PublicPolicy #DataScience #Research #ResearchTraining #Instats

Text-as-data methods are reshaping social science research, but getting started with programming can be a major barrier. This hands-on online seminar is designed to help PhD students and professional researchers with no coding background move from their first lines of Python to fine-tuning their own language model. Across three live 2.5-hour sessions, you’ll learn the Python needed for applied text-as-data work, understand how BERT-based encoder models classify text at scale, and fine-tune a model to place political text on a left-right scale. Everything runs in free browser-based notebooks, with step-by-step guidance and connections to the R and Stata intuitions many social scientists already have. By the end, you’ll be able to read, adapt, and run a complete fine-tuning pipeline on your own labeled text, validate your model against a baseline, and save it for reproducible use. The seminar is available live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #ComputationalSocialScience #PoliticalScience #ComputerScience #DataScience #Statistics #GoogleColab #Jupyter #Python #Research #ResearchTraining #Instats

Presentation slides are central to academic teaching, research dissemination, doctoral defenses, conference talks, grant communication, and faculty development — yet few researchers receive formal training in how to design and deliver them effectively. This focused two-hour online seminar provides PhD students, professors, researchers, academic faculty, and professional development practitioners with a research-grounded process for creating PowerPoint presentations that audiences actually remember. Drawing on cognitive load theory, multimedia learning, dual coding, assertion-evidence design, and narrative presentation frameworks, the seminar moves through Planning, Design, and Delivery to help participants develop clear learning objectives, structure content before opening PowerPoint, write stronger slide headlines, reduce text-heavy “slideuments,” use color and visuals strategically, design more effective charts, and deliver presentations by guiding audiences through visuals rather than reading from slides. Offered via Zoom with 30-day access to recordings, materials, and an online Q&A forum, the seminar also includes an official Instats certificate of completion and is ideal for anyone who wants to make academic and professional presentations clearer, more engaging, and more memorable. #HigherEducation #InformationScience #Psychology #CognitiveScience #Education #Communication #MicrosoftPowerPoint #Research #ResearchTraining #Instats

Looking to strengthen your ability to analyze complex longitudinal data in R? Join our one-day online workshop with Professor Tuhin Sheikh from the College of Health Solutions at Arizona State University, designed for PhD students, academics, and professional researchers who want to build practical and theoretical skills for working with repeated-measures data. This intensive seminar will cover key challenges in longitudinal analysis, including marginal and conditional modeling frameworks, correlation structures, fixed and random effects, missing data mechanisms such as MAR and MNAR, multiple imputation, sensitivity analysis, and multilevel modeling for hierarchical data. Through real-world case studies and hands-on exercises in R and RStudio, participants will learn how to translate advanced biostatistical methods into robust research practice. The seminar is delivered live via Zoom, with recordings, slides, data, code, and a monitored Q&A forum available for 30 days afterward, making it easy to attend live or asynchronously. Participants will also receive an official Instats certificate of completion, with ECTS Equivalent points available where applicable. #PublicHealth #Biostatistics #Statistics #HealthSciences #Healthcare #ResearchinHealthSciences #DataScience #R #RStudio #Research #ResearchTraining #Instats

How do statistical methods shape what we know about the health effects of air pollution—and even what levels are considered “safe”? Join Michael Cork, MPH, PhD Candidate at the Harvard T.H. Chan School of Public Health, for an accessible, policy-relevant online seminar on estimating exposure–response relationships between pollution and health outcomes. Designed for PhD students and professional researchers, the session will introduce exposure–response curves, causal inference concepts such as confounding, exchangeability, and weighting, and compare these with traditional regression-based approaches. Drawing on recent JRSS-A research, including large-scale simulations and real-world air-pollution analyses using Medicare data, the seminar will show how different methods can lead to different public-health conclusions. While the examples focus on air pollution, the ideas apply broadly to continuous environmental exposures such as temperature, noise, and chemical pollutants. Participants will gain practical guidance on interpreting ERC methods, understanding assumptions and uncertainty, and recognizing how methodological choices influence risk estimates and policy standards. Live via Zoom, with recordings and materials available for 30 days, plus shared R-based examples and reproducible scripts for further exploration. #Biostatistics #DataScience #EnvironmentalSciences #PublicPolicy #Statistics #Epidemiology #PublicHealth #RStudio #R #Research #ResearchTraining #Instats

Strengthen your regression modeling and reproducible research skills with this online seminar designed for PhD students and professional researchers. This practical workshop introduces the R programming environment, RStudio, linear and multiple regression, and the rms package for model specification, estimation, diagnosis, and prediction. Participants will learn how to import and manage data, write script-based analyses, create reproducible HTML reports with Quarto, construct and interpret model formulas, fit and interpret regression models, test composite hypotheses, generate predictions and prediction intervals, and use diagnostic and graphical tools to assess model fit. A complete case study on body fat estimation demonstrates how to integrate data, code, graphics, interpretation, and reporting into a transparent and reproducible workflow. The seminar is available live via Zoom, with recordings, materials, data, code, and slides accessible online for 30 days after the seminar, plus a monitored Q&A forum for follow-up questions. On-demand access is also available, and participants receive an official Instats certificate of completion, with ECTS Equivalent points available where applicable. #Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #ComputerScience #R #RStudio #Quarto #Research #ResearchTraining #Instats

Strengthen the methodological foundation of your quantitative research with our 1-day live online seminar on Sample Size Determination and Statistical Power Analysis, designed for PhD students, postdoctoral researchers, and academic staff who need rigorous, publishable justifications for sample size decisions. Led by Soleman Abu-Bader of the School of Social Work at Howard University, this hands-on workshop combines clear conceptual guidance with practical exercises in G*Power, covering a priori and post hoc power analysis, effect size selection, t-tests, ANOVA, regression, cluster and multilevel designs, attrition, sensitivity analysis, and publication-ready reporting for manuscripts and grant proposals. Participants will learn how to translate substantive hypotheses into defensible sample size calculations, produce reproducible input and annotated output, and strengthen the credibility of study designs, null results, and funding applications. The seminar is delivered live via Zoom, with recordings, slides, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #SocialSciences #Education #Statistics #SocialWork #PublicHealth #DataScience #G*Power #SPSS #Research #ResearchTraining #Instats

Struggling to turn research insights into words on the page? Join our online one-day seminar with Dr Lynn Nygaard (Peace Research Institute Oslo) on developing sustainable academic writing habits that support productivity, clarity, and scholarly impact. Designed for PhD candidates, postdoctoral researchers, academics, and professional researchers, this practical workshop offers evidence-informed routines for overcoming procrastination and perfectionism, setting realistic writing goals, protecting writing time, improving argument structure, drafting and revising more efficiently, and finding more enjoyment in the writing process. Participants will work with concrete tools such as weekly writing plans, micro-writing strategies, revision checklists, and peer feedback practices, with opportunities to apply the methods directly to a current writing project. The seminar is delivered via Zoom, with recordings and materials available for 30 days, an expert-moderated Q&A forum, and an official Instats certificate of completion provided at the end. Whether you are writing a thesis chapter, journal article, grant proposal, or collaborative manuscript, this workshop will help you build habits that make academic writing more manageable, productive, and rewarding. #SocialSciences #Communication #Sociology #Education #Linguistics #SocialTheory #Research #ResearchTraining #Instats