PhD students and professional researchers: join our hands-on online workshop to learn Bayesian modeling with PyMC (v5.25+). Designed for data scientists and applied statisticians, this beginner-friendly course covers Bayesian fundamentals, building and fitting models with MCMC, hierarchical and generalized linear models, model checking with ArviZ, and the full Bayesian workflow—no prior PyMC or Bayesian experience required (familiarity with regression, Python, NumPy/pandas, and Jupyter notebooks is helpful). All sessions are livestreamed via Zoom, include 30-day access to recordings, materials, and a monitored Q&A forum, and participants receive an Instats certificate of completion (ECTS-equivalent points shown where applicable). Register now to gain practical skills you can apply directly to your research projects. #Biostatistics #Statistics #MachineLearning #ComputerScience #DataScience #Mathematics #Python #PyMC #Research #ResearchTraining #Instats

Join Ludwig Geistlinger, Director of Computational Biology at Harvard Medical School, for an in-depth 3‑day hands-on workshop on single‑cell RNA‑seq analysis using R and Bioconductor—designed for PhD students, postdocs, academics and industry researchers who want practical skills to analyze their own data. Topics include preprocessing and QC, dimensionality reduction, clustering and cell‑type annotation, differential expression for multi‑sample/multi‑condition datasets, visualization, working with large datasets, interoperability with Seurat and Scanpy/scverse, and integration with public atlases such as the Human Cell Atlas. Live sessions are delivered via Zoom with take‑home exercises; recordings, code, data and slides are available for 30 days, an instructor‑monitored forum remains open for questions, on‑demand access is available, and participants receive an Instats certificate of completion (ECTS equivalent noted for European students). Ideal for researchers seeking to build rigorous R/Bioconductor single‑cell analysis skills—register now to secure your place. #ComputationalBiology #Bioinformatics #Biomedicine #Biostatistics #Biology #DataScience #Genomics #HighPerformanceComputing #MolecularBiology #Statistics #R #RStudio #Research #ResearchTraining #Instats

Join Dr Joëlle Barido‑Sottani (Institute of Biology, ENS‑PSL, CNRS) for a 2‑day hands‑on workshop on Bayesian Phylogenetics with BEAST2 that will give PhD students, academics and professional researchers a deep dive into both the theory and practice of Bayesian inference for evolutionary trees. You’ll learn to set up and run BEAST2 analyses (https://www.beast2.org/), specify and assess priors, handle sequence and trait data, perform post‑analysis diagnostics, and understand how BEAST2’s MCMC approach averages over tree space to fully account for tree‑topology uncertainty for more robust divergence‑time and parameter estimates; BEAST2’s modular plugins and GUI make it ideal for both basic and applied research. The seminar is livestreamed via Zoom, includes 30‑day access to recordings, materials and a monitored Q&A forum, and provides an Instats certificate (ECTS equivalents shown where applicable). #Epidemiology #MolecularBiology #Evolution #Biology #Statistics #Genomics #Biostatistics #Bioinformatics #Genetics #ComputationalBiology #BEAST2 #Research #ResearchTraining #Instats

Join Estefania Mancini (Josep Carreras Leukaemia Research Institute) for an online seminar on key bioinformatics methods for analyzing sequencing and genomics data—covering sequence-based assays, transcriptomics, variant discovery and integrative analyses—while celebrating the 25th anniversary of the Human Genome Project's first publication. All sessions are livestreamed via Zoom, with recordings, slides, code, and data available for 30 days after the seminar and an expert‑monitored Q&A forum open for 30 days so you can ask follow‑up questions; on‑demand enrollment also gives 30 days’ access from the time you activate your enrollment. Participants receive an Instats certificate of completion (ECTS Equivalent points shown for European students where applicable). Ideal for PhD students and professional researchers—learn more and enroll to secure your place. #Bioinformatics #ComputerScience #Genomics #SoftwareEngineering #DataScience #MolecularBiology #Research #ResearchTraining #Instats

Advance your qualitative research with a focused two-day, hands-on MAXQDA seminar designed for PhD students, doctoral candidates, faculty, and research professionals: move from foundational coding to advanced analytical workflows while working with interviews, focus groups, and open-ended surveys, and learn to use Smart Coding, code maps, MAXMaps, and MAXQDA’s AI Assist ethically to produce publication-ready visualizations, exports, and transparent audit trails. Delivered live via Zoom with take-home challenges—and including 30-day access to recordings, materials, and a monitored Q&A forum—this practical training will help you strengthen dissertation methodology chapters, accelerate analysis timelines, and conduct methodologically defensible mixed-methods research. Participants receive an official Instats certificate of completion (ECTS equivalent indicated for European students). Space is limited—learn more or enroll today. disciplines #InformationScience #Education #SocialTheory #MAXQDA #Research #ResearchTraining #Instats

Advance your R skills with our one-day intermediate workshop designed for PhD students and professional researchers who can already run simple statistical analyses and have basic R/statistics knowledge: we’ll cover RStudio, organising and merging multiple datasets, logical conditions and conditional commands (if, if-else), loops, and creating your own functions, all with practical, research-focused examples taught by experienced instructors. The live Zoom seminar includes take-home skill challenges, and all recordings, code, data and slides are available for 30 days after the session (on-demand enrolments receive 30 days’ access too); an instructor-monitored chat forum is available for questions during that period. A certificate of completion is provided (ECTS equivalent indicated for European students), so you’ll leave better equipped to manage, analyse and visualise your research data and connected to a community of R users—register or learn more today. #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #ResearchTraining #Instats

Build your skills as a quantitative researcher with our practical R course designed for PhD students and professional researchers: learn RStudio and the statistical fundamentals you need to design studies, handle different data types, create effective graphs and summaries, compute confidence intervals, run parametric and non‑parametric hypothesis tests, interpret p‑values, and perform and diagnose linear regression models and predictions. All live seminars are delivered via Zoom, and recordings plus full materials (slides, code, data and outputs) are available for 30 days after the event; a monitored Q&A forum is also open for 30 days so you can get follow‑up support. On‑demand seminars include the same 30‑day access from enrollment, and every participant receives an Instats certificate of completion (ECTS Equivalent points shown on the certificate for European students). #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

Join our online seminar designed for PhD students and professional researchers to master practical quantitative research with R: we cover study design, types of data, graphical displays and summaries, confidence intervals, hypothesis testing (parametric and non‑parametric), p‑values, linear regression, model selection, diagnostics and prediction — all taught using the free, researcher‑friendly RStudio interface. Sessions are livestreamed via Zoom and all recordings, slides, code and data are available for 30 days after the seminar (plus a monitored Q&A forum for 30 days), so you can learn live or asynchronously and revisit materials later. An Instats certificate of completion is provided (ECTS‑equivalent points shown for European students where applicable). Ideal for those who want to plan analyses, choose appropriate tests and regression models, and produce reproducible results in R — enroll now to build your quantitative skills. #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

Join our focused two-day, hands-on seminar to master NVivo for rigorous, publication-ready qualitative and mixed-methods analysis—designed for PhD students, doctoral candidates, faculty, and research professionals in the social sciences, education, program evaluation, and qualitative methodology. You’ll progress from foundational coding to advanced analytical workflows, learning systematic data organization, coding interview and focus-group data, developing hierarchical codes and themes, running queries, creating publication-ready visualizations and outputs, and integrating NVivo’s AI Assistant ethically to boost efficiency without compromising analytical rigor. The seminar features live Zoom instruction with demos and practice on sample datasets, take-home skill challenges, a monitored chat forum, and all recordings/materials available for 30 days after the seminar; participants receive an Instats certificate of completion (ECTS-equivalent indicated for European students). Strengthen your dissertation or research outputs with transparent, defensible workflows—spaces are limited, so visit the Instats seminar page to learn more and register. disciplines #InformationScience #DataScience #SocialTheory #Education #Communication #NVivo #Research #ResearchTraining #Instats

Facing high-dimensional, complex data in your research? Join Nikolay Oskolkov (Molecular Biosciences, Lund University) for a one-day advanced workshop, "Exploratory Analysis of Complex Datasets with ChatGPT," designed for PhD students, professors and researchers in statistics, data science, bioinformatics, AI and ML. Through hands-on sessions with R, Python, TensorFlow, Bash and modern AI tools like ChatGPT, you’ll master linear and non-linear dimensionality reduction (PCA, MDS, t-SNE, UMAP), clustering methods from k-means and GMM to spectral, DBSCAN and graph-based Louvain/Leiden approaches, plus autoencoders, data integration techniques and time-series clustering (DTW). The workshop is delivered live via Zoom with recordings, code and materials available for 30 days after the seminar, a monitored Q&A forum, and an Instats certificate of completion (ECTS-equivalent points shown for European students). Enhance your analytical toolkit and learn practical strategies to tackle the curse of dimensionality—learn more and register today. #Statistics #DataScience #Bioinformatics #ArtificialIntelligence #MachineLearning #ComputerScience #Biostatistics #MolecularBiology #CognitiveScience #R #Python #ChatGPT #TensorFlow #Bash #Research #ResearchTraining #Instats

Join Dr Nikolay Oskolkov (Molecular Biosciences, Lund University) for a hands-on workshop on clustering high-dimensional data using R and Python, designed for PhD students, academics and research professionals. You’ll gain practical skills in dimensionality reduction (PCA, t-SNE, UMAP), preprocessing, and a range of clustering methods from k-means and GMM to graph-based approaches (SNN, HDBSCAN, Louvain/Leiden), learn to code algorithms from scratch, and master evaluation and validation techniques with applications in bioinformatics. The seminar is livestreamed via Zoom with take-home challenges; recordings, materials and a monitored Q&A chat are available for 30 days after the course, and on-demand access plus a certificate of completion (including ECTS-equivalent points for European students) are provided. Enhance your research toolkit, connect with peers and apply advanced clustering methods to your data—find out more and register today. #Statistics #DataScience #Bioinformatics #ComputationalBiology #ComputerScience #Biostatistics #Mathematics #R #Python #Research #ResearchTraining #Instats

Join a two-day online workshop on Structural Equation Modeling (SEM) led by Scott Colwell (University of Guelph & Enablytics), designed for PhD students and researchers who want to move beyond regression and master latent-variable and measurement modelling. The workshop combines conceptual lectures with hands-on R/lavaan coding, model diagnostics, and reproducible workflows to produce publishable analyses—covering CFA, mediation with bootstrapped CIs, reliability (e.g., McDonald’s omega), model comparison, simulation-based power/sample-size planning, handling missing data and different variable types, and clear journal-ready reporting. Live sessions are delivered via Zoom and all recordings, code, data, and slides are available for 30 days after the seminar; a monitored Q&A forum will be open for 30 days post-workshop, and participants receive an Instats certificate of completion (ECTS equivalent where indicated). Find details and register today. #Psychology #QuantitativeMethods #Statistics #DataScience #lavaan #R #Research #ResearchTraining #Instats

Calling PhD students and professional researchers: join our intensive two-day online workshop on egocentric social network analysis using Stata to learn hands-on how to design egocentric surveys, reshape and clean ego–alter data, compute core ego-network measures (size, tie strength, multiplexity, homophily), and embed those measures into regression models with robust SEs—all using a curated subset of the UCNets dataset and instructor case materials. You’ll finish with reproducible Stata do-files, publication-ready tables and figures, practical troubleshooting tips, and strategies to anticipate reviewer critiques. Live via Zoom (sessions recorded and available for 30 days) with a 30-day Q&A forum and an Instats certificate of completion—spaces are limited, so register now to secure your spot. #Education #PublicPolicy #SocialNetworkAnalysis #SocialPsychology #SocialSciences #SocialStratification #Sociology #DataScience #Statistics #Stata #Research #ResearchTraining #Instats

Join an intensive one-day workshop with Kenneth Benoit (SMU) and Seraphine Maerz (University of Melbourne) to learn an accessible, rigorous approach to AI-powered qualitative analysis using R: see how the new R packages quallmer and ellmer translate LLM capabilities into practical tools for annotating text, images, audio, video, PDFs and tabular data—no deep programming or ML expertise required. Through guided demos and hands-on exercises you will connect to proprietary models (OpenAI, Google, Anthropic) and open-source options (e.g., Ollama), learn to design reliable prompts, build reproducible RStudio pipelines suitable for publication, and address ethics, privacy, model-choice trade-offs and validation with human coders. The seminar is highly practical and inclusive (no prior R required); bring a laptop with R/RStudio to follow along or attend asynchronously—recordings, code, datasets and a monitored Q&A will be available for 30 days after the event, and participants receive an Instats certificate (ECTS equivalent where shown). Ideal for PhD students and professional researchers looking for a flexible, transparent alternative to built-in AI features in qualitative software—register or learn more today. disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Statistics #R #RStudio #Research #ResearchTraining #Instats

Join our half-day online seminar to master how to find clinical trials and unpublished results across trial registers (ClinicalTrials.gov, WHO ICTRP, Cochrane CENTRAL), clinical study reports and regulatory sources (Health Canada, EMA, FDA), and to learn practical strategies for searching and documenting your work; Carol and Julie—each with 30 years’ experience in evidence synthesis—will guide clinicians, information specialists/librarians and researchers through the complexities of ongoing and completed trial information, preprints, HTA sources and more. The workshop is delivered live via Zoom, with recordings, slides and materials (and a monitored Q&A forum) available for 30 days after the seminar, and attendees receive an Instats certificate of completion (ECTS equivalent shown where applicable). Register at https://instats.org/course/key-search-issues-finding-trials-using1 and save 10% when you book this seminar together with "Search Filters for Evidence Synthesis." #Healthcare #HealthSciences #InformationScience #Medicine #Multidisciplinary #Nursing #PharmaceuticalScience #Biostatistics #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Pharmacology #Research #ResearchTraining #Instats

Fine-tuning large language models is now an essential research method for extracting reliable, reproducible insights from domain-specific texts — join Dr. Seraphine Maerz (University of Melbourne) for a one-day, research-focused online workshop designed for PhD students, faculty and professional researchers across Health Sciences, Political Science and the Social Sciences. The day mixes concise conceptual overviews with hands-on Jupyter/Colab notebooks (Python and R/RStudio; no prior programming required) so you’ll leave with reproducible code, evaluation pipelines and clear decision rules for when to fine-tune versus using prompt engineering; topics include fine-tuning methods, LoRA for parameter-efficient tuning, classification heads, data preparation and annotation, evaluation and error analysis, reproducibility best practices, and ethical considerations. The seminar is livestreamed via Zoom, with recordings, notebooks and all materials available for 30 days after the event (plus a moderated Q&A forum for 30 days), and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students where applicable). Interested? Enroll or learn more to secure your spot and take your text-analysis toolkit to the next level. disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #Ethics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

Join Ken Gerow for a two-day intensive online seminar designed for PhD students and quantitative researchers that focuses on translating statistical outputs into substantive claims about relative differences. The workshop combines conceptual rigor and hands‑on practice—covering when relative measures are preferable or misleading, how scale and transformations (including log transforms) affect inference, diagnostics and calibration for ratio estimands, and how to frame relative findings for publication and policy—through applied examples using curated (and possibly your own) datasets. You will leave with a practical toolkit to choose and justify relative scaling, implement and diagnose models that produce reliable relative measures, and translate back‑transformed results into clear, reproducible scientific claims; sessions are livestreamed via Zoom and all recordings, slides, code, and data plus a 30‑day Q&A forum will be available after the seminar. An Instats certificate of completion is provided (ECTS-equivalent points shown for European students); ideal for anyone who wants to move beyond rote reporting to nuanced interpretation and robust presentation of relative effects—learn more and register on the seminar page. #Statisticalmodellingandregression #Education #Statistics #Mathematics #DataScience #Research #ResearchTraining #Instats

Improve your RNA‑seq analyses with a practical, three‑day workshop taught by Estefania Mancini (Josep Carreras Leukaemia Research Institute) that teaches statistically rigorous, reproducible workflows in R/Bioconductor within RStudio — from project structure, raw data QC and count import, through normalization and differential expression, to visualization, gene set/pathway analysis and reproducible reporting with RMarkdown and basic git. Designed for PhD students and academic researchers, you will leave able to run and interpret complete RNA‑seq pipelines, choose appropriate statistical models for your design, produce publication‑quality figures, and adapt provided annotated code templates and a reproducible report to your own data. All sessions are livestreamed via Zoom, with recordings, code, and materials available for 30 days after the seminar and an expert‑monitored Q&A forum; a certificate of completion (with ECTS equivalent indicated where shown) is provided. This is the second course in a two‑part series (participants enrolling in both receive a 10% discount) — learn more and register at https://instats.org/course/rna-seq1. #Bioinformatics #Biostatistics #Statistics #DataScience #Genomics #RStudio #Research #ResearchTraining #Instats

Join our online workshop on modern generative AI from a statistical and biostatistical perspective, designed for PhD students and professional researchers. The seminar covers core classes of generative models—autoregressive models, VAEs, GANs, diffusion models and LLMs—and demonstrates how these methods model complex data-generating processes and approximate high-dimensional probability distributions using examples from biostatistics and biomedical data science (synthetic data generation, missing-data imputation, clinical text analysis). You will learn to explain the statistical foundations of these frameworks, interpret generative models as probabilistic representations, evaluate when they are appropriate for biostatistical problems, identify assumptions and limitations, and apply principled criteria for responsible use in sensitive health settings (privacy, bias, fairness). Live sessions are taught via Zoom with hands-on take-home challenges; all Zoom recordings, code, data, and slides are available for 30 days after the seminar and the instructor will monitor an online forum for questions during that period; on-demand access is also available for 30 days after you activate enrollment. Participants receive an Instats certificate of completion, with ECTS equivalent points indicated on the certificate for European students. #Epidemiology #BiomedicalEngineering #ComputerScience #DataScience #Statistics #Biostatistics #PublicHealth #Python #Research #ResearchTraining #Instats

Join a hands-on, three-day workshop led by Estefania Mancini (Josep Carreras Leukaemia Research Institute) to master reproducible, publication-ready RNA-seq analysis using Nextflow and community-standard nf-core workflows. Designed for PhD students, professors, and researchers, the course covers experimental design (library types, replication, batch effects, power), fetching public datasets with nf-core/fetchngs, running nf-core/rnaseq to produce read count matrices, interpreting QC reports, and configuring pipelines for local, HPC, and cloud environments. You’ll work with real datasets, inspect intermediate outputs, troubleshoot common issues, and leave able to implement portable, reproducible RNA-seq pipelines suitable for downstream statistical analysis. Live sessions are via Zoom with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar; a certificate of completion (and ECTS equivalents where indicated) is provided. This is the first of a two-part course—enroll in both for a 10% discount: https://instats.org/course/rna-seq1 #Biostatistics #Genomics #MolecularBiology #Bioinformatics #RStudio #Research #ResearchTraining #Instats

Join a one-day, hands-on workshop led by Andy Wilson (Spencer Fox Eccles School of Medicine, Univ. of Utah) that teaches contemporary causal inference through the Causal Roadmap, linking counterfactual and graphical thinking with state-of-the-art R and Python implementations; tailored for PhD students, faculty, and researchers in biostatistics, epidemiology, health economics, ML and related fields, you’ll work through DAG construction, causal discovery (gCastle/PC), estimation labs (propensity methods, g-computation, TMLE with SuperLearner, DML), and generative validation (VAE-based simulation) to learn how to design, estimate, and defend causal analyses of observational health data, produce reproducible artifacts (DAGs, adjustment sets, R scripts, comparison plots), and perform sensitivity assessments useful for dissertations, regulatory submissions, and collaborative projects; the seminar is highly interactive (live coding, group DAG work, guided labs), delivered via Zoom with recordings and materials available for 30 days after the event, and includes a certificate of completion (ECTS-equivalent where indicated). #Biostatistics #CausalInference #DataAnalytics #Epidemiology #HealthEconomics #MachineLearning #PublicHealth #Statistics #DataScience #ComputerScience #Python #R #Research #ResearchTraining #Instats

Join Isik Bicer (Schulich School of Business, York University) for a three-day online workshop on demand prediction in supply chains that blends rigorous theory with hands-on Python practice—ideal for PhD students, faculty, and professional researchers. You’ll work through regression and tailored regularization, time-series forecasting (including SARIMA), classification for product selection, evolutionary Monte‑Carlo simulation, and principled model evaluation and validation, with live coding in Jupyter notebooks using scikit-learn, statsmodels and other libraries. The seminar emphasizes reproducible, research-ready implementations, simulation design for rigorous inference, and outcomes that directly support dissertation work and publishable research; attendees also receive one-on-one feedback during labs. All sessions are livestreamed via Zoom, recordings and materials (code, slides, data) are available for 30 days afterward, a monitored Q&A forum is provided, and participants receive an Instats certificate of completion (ECTS equivalent noted where applicable). #MachineLearning #Statistics #SupplyChainManagement #Management #ComputerScience #DataScience #OperationsResearch #Economics #Python #Research #ResearchTraining #Instats

Advance your research with our hands-on workshop on multilevel modeling for nested data (e.g., individuals in households, patients in hospitals)—the third in a three-part series for PhD students, researchers, and analysts familiar with basic regression who are ready to model hierarchical data. You’ll learn to diagnose multilevel structures, estimate null models and ICCs, fit random-intercept and random-slope models, test cross-level interactions, and explore extensions (logistic, three-level, cross-classified, weighting, time), with step-by-step Stata guidance and ChatGPT integrated as a learning assistant to clarify concepts, generate/refine Stata code, and troubleshoot analyses. All sessions are livestreamed via Zoom, recordings and materials (including program input/output and data) plus a monitored Q&A forum are available for 30 days after the seminar, a certificate of completion (ECTS-equivalent where indicated) is provided, and a 10% discount applies when purchasing two or more workshops in the Using ChatGPT with Stata course (details: https://instats.org/course/using-chatgpt-with-stata3). Stata access is required and a ChatGPT account is recommended—register now to make multilevel modeling accessible and directly applicable to your research. #SocialSciences #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #DataScience #Stata #Research #ResearchTraining #Instats

Join distinguished economist Jeffrey Wooldridge for a two-day livestream workshop on difference-in-differences (DiD) for causal inference with panel data — from core concepts (no anticipation, parallel trends, potential outcomes) to advanced topics such as staggered rollouts, event studies, two-way fixed effects, imputation and doubly-robust estimators, inference with clustering or few units, unbalanced panels, and nonlinear DiD — all illustrated with hands-on Stata examples. This fourth workshop is part of the four-seminar course "From Static Models to Causal Inference and DiD Estimation" (register for the full course to get a 10% discount) and is also available as a stand-alone Causal Inference and DiD series; all livestreams include live Q&A, recordings and materials for 30 days after the seminar, and an Instats certificate (ECTS-equivalent noted for European students). Ideal for PhD students and researchers who want practical, up-to-date DiD tools for applied work — learn more and register at https://instats.org/structuredcourse/panel-data-modeling-from-static-models-4924 (stand-alone series: https://instats.org/structuredcourse/causal-inference-and-did-estimation2; panel data workshops: https://instats.org/structuredcourse/panel-data-models-and-methods2). #Statistics #Economics #DataScience #PublicHealth #Stata #Research #ResearchTraining #Instats

Join a free introductory online seminar on GIS for PhD students, academics and professional researchers with Dr Nick Bearman (University College London / Geospatial Training Solutions) to learn GIS fundamentals, spatial data types and sources, visualization techniques, spatial analysis, software platforms, and best practices for integrating geospatial methods into your research; the workshop is delivered live via Zoom with recordings, materials and an expert Q&A forum available for 30 days after the event, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). For those wanting to go further, Dr Bearman also offers two multi-part advanced 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 with an automatic 10% discount. Learn more and register at https://instats.org. #Geography #InformationSystems #SpatialEcology #Ecology #EarthScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats