Join the CASC group at University College London for a comprehensive three-day online workshop that will equip PhD students and researchers with the skills to conduct and interpret meta-analyses—an essential tool for evidence-based research. You’ll learn core concepts (outcome measures, fixed-effect and random-effects models, heterogeneity, and publication bias), gain hands-on practice through daily take-home challenges, and have the option of half-day R or Stata supplements to apply methods to real datasets (basic statistical literacy required; basic R/Stata recommended for the supplements). The course is delivered live via Zoom with recordings, datasets, slides and an instructor-monitored forum available for 30 days after the seminar, and participants receive an official Instats certificate on completion—an excellent way to strengthen your research toolkit and boost your academic profile. #Psychology #Sociology #Economics #Geography #SocialWork #Criminology #PoliticalScience #Education #Demography #Management #Marketing #Accounting #Epidemiology #PublicHealth #Biostatistics #ClinicalorLaboratoryScience #Psychiatry #Statistics #Biology #Oceanography #Ecology #InformationScience #DataScience #Stata #R #Research #ResearchTraining #Instats

Scale your evidence synthesis with AI: join a hands-on seminar, Using AI for Systematic Reviews & Meta-Analysis, led by professors Piers Steel and Hadi Fariborzi that teaches the rigorous 4P Framework (Pull · Pick · Prep · Push) and shows how to combine principled review methods with modern AI, PDF parsing, and API-driven workflows (HubMeta). Designed for PhD students, postdocs, faculty and professional researchers, the workshop covers high-recall search construction, AI-assisted deduplication and screening, automated effect-size extraction and computation, meta-analytic modeling (fixed, random, multilevel), bias and heterogeneity diagnostics, and packaging reproducible outputs (PRISMA diagrams, versioned datasets, R/Python scripts, citable bundles with DOIs). You’ll get hands-on exercises with large-synthesis sample data, a 4P workbook, AI prompt library, templates, and an effect-size cheatsheet — with recordings, a 30-day Q&A forum, and a certificate of completion (ECTS equivalents shown for European participants). By the end you should be able to scale reviews to thousands of records, maintain auditable oversight of AI-assisted screening and extraction, and produce submission-ready reproducible packages ready for journal submission or public archiving. Learn more or register to reserve your spot. #ComputerScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats

Join an intensive two‑session seminar led by Professor Charles Crabtree (Dartmouth) on designing and implementing audit (correspondence) experiments—one of the most powerful tools for measuring real‑world discrimination. Combining experimental logic, ethical practice, and hands‑on R coding, the workshop covers operationalizing hypotheses, name selection and validation, power analysis, within/between‑subject designs, threats to validity and robustness checks, IRB‑ready materials and pre‑registration, automated pipelines and outcome instrumentation, and transparent replication practices. Aimed at PhD students, faculty, and researchers in the social sciences planning an audit study within the year, participants will leave with starter scripts, sample data, pre‑analysis templates, and the practical skills to produce publishable, policy‑relevant work. Delivered live via Zoom with recordings and a monitored Q&A available for 30 days after the seminar, plus a certificate of completion (ECTS‑equivalent where indicated) — register or learn more today. #ComputationalSocialScience #Economics #PoliticalEconomy #PoliticalScience #Sociology #Statistics #DataScience #PublicPolicy #SocialTheory #R #RStudio #Research #ResearchTraining #Instats

Join a two-day livestream workshop on difference-in-differences (DiD) with distinguished econometrician Jeffrey Wooldridge — designed for PhD students and applied researchers who want both the conceptual foundations and hands-on Stata practice for modern DiD methods. You’ll cover common-timing and staggered interventions, event-study vs. lags-only approaches, imputation, two-way fixed effects, matching/IPW/doubly-robust estimators, time-varying covariates, inference with clustered or small samples, unbalanced panels, and nonlinear DiD, with real-world examples and a 30-day Q&A and recording access to revisit materials. This workshop is the fourth in the structured course “From Static Models to Causal Inference and DiD Estimation” — register for the full course to receive a 10% discount — and all attendees receive an Instats certificate (ECTS-equivalent noted for European students where applicable). Spaces are limited; register and learn more at https://instats.org/structuredcourse/panel-data-modeling-from-static-models-4924. #Statistics #Economics #DataScience #PublicHealth #Stata #Research #ResearchTraining #Instats

Free online seminar: Intro to GIS for PhD students, academics and research professionals with Dr Nick Bearman (University College London / Geospatial Training Solutions) — learn the fundamentals of spatial data, visualization, spatial analysis and common GIS software, and gain practical tips for integrating GIS into your research; the livestream is via Zoom, all recordings and materials (including code/data) plus a monitored Q&A forum are available for 30 days, and participants receive an Instats certificate of completion (ECTS equivalent where shown). This concise, hands-on workshop is an ideal foundation if you want to add spatial thinking to your research toolkit, and attendees are eligible for an automatic 10% discount on two advanced multi-part follow-on 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). Find out more and register via the course pages — places are limited, so sign up soon. #Geography #InformationSystems #SpatialEcology #Ecology #EarthScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats

Join Antonios Stamatogiannakis (IE Business School, IE University) for an intensive, hands‑on seminar that examines whether and how contemporary LLMs emulate well‑documented human biases and heuristics—an essential question for PhD students, academics, and professional researchers who want to use generative AI responsibly in research. Combining theory, a custom GPT application, and ten controlled experiments, the workshop shows when LLMs mirror, diverge from, or invert human judgment and highlights four classes of deviations (bias attenuation, bias amplification, reversed biases, and temporal/model inconsistency). You’ll gain practical skills in experimental design, prompt construction, reproducible data logging, statistical analysis, and replication protocols, plus guidance on ethical interpretation and translating findings for managerial, policy, or publication purposes. By the end of the day you’ll leave with concrete project ideas, a reproducible experimental template suitable for thesis chapters or conference submissions, and access to seminar recordings and materials for 30 days (plus a monitored Q&A forum and a certificate of completion). Spaces are limited—register now to secure your spot and deepen your ability to evaluate and test LLM behavior rigorously. #ArtificialIntelligence #Business #DecisionTheory #Management #Marketing #Psychology #SurveyDesign #Statistics #CognitiveScience #DataScience #Customapplication #GPT #Research #ResearchTraining #Instats

Join Professor Moses Boudourides (Data Science Graduate Program, Northwestern University) for a three-day, hands-on workshop showing how Large Language Models and Knowledge Graphs can transform scholarly synthesis and theoretical discovery: across sessions on LLM-augmented KG construction, automated systematic review pipelines, and theory mapping you’ll work with Python Jupyter Notebooks to build reproducible pipelines for literature discovery, extraction, KG design and visualization, and human-in-the-loop evaluation that mitigate hallucinations and document provenance. Designed for PhD students, faculty, and research professionals across AI, data science, management, information science and related fields, the course covers practical tools (transformers, spaCy, embeddings/FAISS, Neo4j/RDF, visualization libraries), evaluation and uncertainty quantification, ethical/legal constraints, and artifacts you can adapt for theses or publications. All seminars are livestreamed on Zoom, include executable notebooks and sample data, and recordings plus materials and a monitored Q&A forum are available for 30 days after the course; participants receive an Instats certificate upon completion (ECTS-equivalent points indicated for European students where applicable). Spaces are limited—register or contact the organizers to learn more. disciplines #ArtificialIntelligence #BibliometricResearch #ComputationalSocialScience #ComputerScience #DataScience #InformationScience #MachineLearning #Management #Multidisciplinary #SocialTheory #Linguistics #Python #Research #ResearchTraining #Instats

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