How are recent advances in #AI reshaping teaching and research? After leading his #MachineLearning seminar, @brucedesmarais.bsky.social shares his reflections in a new post on LinkedIn. Read it here:

Upgrade your marketing research! Join Jeffrey Dotson on March 25–27 for "AI-Enabled Marketing Research" and learn to use Google Gemini for #AI-driven qualitative analysis, intelligent survey design, and synthetic respondent methods.

Join @stephenvaisey.com on March 18–20 for "Longitudinal Data Analysis w/ #Stata and LLMs". Learn to analyze panel data using mixed models, two period difference-in-differences, fixed-effects models, between-within models, & dynamic panel models, w/ added #LLM support.

Distinguished Speaker James Berger presents "Objective Bayesian Analysis: History & Interfaces w/ Classical Statistics", April 14. Learn how objective #Bayesian and classical approaches diverged, why those differences matter, & what they mean for statistical evidence today.

How do researchers determine the sample size needed to address their research questions? Join "Power Analysis & Sample Size Planning" w/ Christopher L. Aberson to learn about power and sensitivity approaches for multiple research designs. This 4-week on-demand seminar starts March 16.

Join "Automatic Item Generation and Validation: A Network Integrated Approach using LLMs in #Rstats" on Mar. 11 & 13 with @hudsongolino.bsky.social to learn how to use artificial intelligence to create and validate questionnaires and scales!

Join @dmcneish.bsky.social for "Dynamic #StructuralEquationModeling", March 4-6! Explore DSEM, a cutting-edge framework that utilizes intensive longitudinal data to gain detailed insights into dynamic processes and variability within and between subjects.

Expand your social network analysis toolkit! Join John Skvoretz for "Social Networks: Statistical Approaches" starting Feb. 9. Learn how to test hypotheses and model network structure using #Rstats in this 4-week on-demand course.

Join "Machine Learning for Estimating Causal Effects" w/ @ashleynaimi.bsky.social on Feb. 25-27. Learn to use cutting-edge "double-robust" #machinelearning methods to estimate treatment effects, minimize biases, & avoid problems like the “curse of dimensionality.”

Join Boris Nikolaev on Feb. 19-20 for "Data Analysis with ChatGPT: A Practical Introduction"! Explore the strengths and limitations of #ChatGPT as a data analysis tool in real-world scenarios to work with complex data and create compelling visualizations.

Join “Multilevel & Mixed Models w/ #Stata & ChatGPT” w/ @stephenvaisey.com, Feb. 18-20 for an intensive intro to multilevel models. Learn the (real) difference between fixed & random effects, how to combine both in a single model, & how #ChatGPT can help design, estimate, and interpret your models.

Get Certified in Machine Learning! This 4-course certification builds from #ML foundations to advanced, applied methods, with a focus on responsible evaluation and practical use. Gain hands-on #machinelearning skills and real-world expertise. Contact us:

Learn to use natural language processing (NLP) techniques & large language transformer models (#LLMs) for research applications. Join "Text Classification with LLMs in #Rstats" w/ @hudsongolino.bsky.social on Feb. 11-13.

Evaluating #AI in practice? Join Distinguished Speaker Kosuke Imai on Feb. 10 for "Evaluating AI and #MachineLearning Algorithms for #causalinference". Learn frameworks to assess algorithmic impact and improve decisions.

Already have a background in social network analysis & looking to expand your knowledge? Join John Skvoretz for "Social Networks: Statistical Approaches" starting Feb. 9 to learn statistical methods for analyzing social network data using #Rstats in this 4-week on-demand course.

Join @brucedesmarais.bsky.social for "Machine Learning" Feb. 5-7 to learn how #machinelearning can be used to uncover valuable insights, identify optimal model structures, perform variable selection, and deliver highly accurate predictions from data.

Join @hudsongolino.bsky.social for "LLM Text Generation in R: Practical Prompt Engineering" on Jan. 28-29. In 8 hours (over 2 days), you'll learn to integrate #LLM models with #Rstats, engineer effective prompts, and apply LLMs to real research tasks and data analysis.

Transition from using #Stata to using #Rstats independently in only 8 hours (over 2 days)! Join "R for Stata Users" with Andrew Miles on Jan. 22-23. Discover how R "thinks" and explore the differences in terminology, code syntax, data management, and default procedures.

Learn to uncover hidden structures & patterns in your research using "Latent Class Analysis" (#LCA) w/ Drs. Lanza & Bray on Jan. 22-24. You'll learn to apply LCA to inform theory, guide interventions, contribute to evidence-based decision-making, & extract new insights from data.

Transform how you design and analyze experiments in “Using AI to Build Better Experiments,” with Charles Crabtree on Jan. 14-16. Discover how to use #LLMs to create materials, augment studies, and interpret results.

Using #AI to write #machinelearning code? It can speed up your coding workflow, but you can’t always trust the accuracy or rigor of AI-generated code. Read @brucedesmarais.bsky.social's SH blog post for 5 checks to improve accuracy, evaluation, and interpretation.

Join Kenneth A. Bollen for "How to Choose a Model for Longitudinal Data", January 14-16. Gain invaluable insights and practical skills for comparing, selecting, and fitting the best #longitudinal models for repeated measures.

Learn to use structural equation modeling (SEM) to estimate dynamic panel data models w/ Paul Allison. "Longitudinal Data Analysis Using #SEM" begins Jan. 12. This 4-week on-demand seminar introduces maximum likelihood with SEM software (ML-SEM) using #Mplus, #Stata, SAS, and #Rstats.

Looking for a comprehensive way to manage, manipulate, analyze, & visualize your data in #Rstats? Join "Data Wrangling with the Tidyverse" with @kjhealy.co, January 7-9, to get hands-on experience w/ R's #tidyverse tools to accomplish everyday statistical analysis tasks.

Looking for a practical intro to designing effective web surveys & working with online respondents? Join "Designing Effective Online Surveys", taught by Andrew Miles on Jan. 7-9, for actionable design strategies, plus advantages & disadvantages of online samples.

Join “Applied Bayesian Data Analysis: A Second Course,” Dec. 10-12 with Roy Levy. Strengthen your ability to build, estimate, and interpret #Bayesian models for complex applied research.

See how @kjhealy.co builds trustworthy visualizations at #positconf2025 —then level up your own skills in his course on "Data Wrangling with the #Tidyverse", Jan. 7–9.

Join “Latent Growth Curve Modeling,” Dec. 10-12 with @dmcneish.bsky.social. Learn how to model change over time, understand growth factors, and apply growth models in your research.

Struggling with missing data? Join Paul Allison for "Missing Data Using R", a 4-week on-demand seminar starting Nov. 17. You'll learn maximum likelihood & multiple imputation—two of the most powerful #missingdata solutions using #Rstats.

Join Roy Levy on Dec. 10-12 for "Applied Bayesian Data Analysis: A Second Course" to take your #Bayesian skills to the next level! Master key skills in advanced modeling frameworks, including factor analysis, structural equation models, and multilevel models.

Check out the Data Science at Home podcast for insights on AI, machine learning, and tech innovation. Listen to the latest episode here.

Learn to model change or growth in #longitudinal data using "Latent Growth Curve Modeling" with @dmcneish.bsky.social, December 10-12. You'll walk away with the ability to confidently apply and interpret these methods to answer your unique research questions.

Distinguished Speaker Kosuke Imai presents "Evaluating AI & Machine Learning Algorithms for #causalinference", Feb. 10. Learn to assess #AI & #machinelearning practically—from heterogeneous treatment effects, individualized treatment rules, & human–AI collaboration.

Distinguished Speaker Kosuke Imai presents "Evaluating AI & Machine Learning Algorithms for #causalinference", Feb. 10. Learn to assess #AI & #machinelearning practically—from heterogeneous treatment effects, individualized treatment rules, & human–AI collaboration.

Join Simon Brewer on December 4-6 for "Spatial Analysis of Health Data"! Explore how geospatial #healthdata provide the tools to better understand & tackle public health challenges while addressing the issues that can arise while working with this type of data.

Forecasting requires tools built for time series. ARIMA (AutoRegressive Integrated Moving Average) models capture trends & seasonality where regression fails. Read more on the SH blog, then join Fundamentals of Time Series Analysis w/ Daniel J. Henderson, Nov. 12-14.

Want to improve or expand how you analyze #qualitative research—integrating computational tools & AI? Join Corey M. Abramson Dec. 3–5 for "Computer-Assisted Qualitative Data Analysis with Automation & AI". Ideal for those new to QDA software or coding.

Join "Mediation and Moderation Analysis for Simple Within-Subject Designs" with @akmontoya.bsky.social, Nov. 20-21. Using the MEMORE macro, created by the instructor, learn cutting-edge methods for estimating and interpreting effects in within-subject designs in 8 hours (over 2 days).

Join "Missing Data Using R" with Paul Allison starting Nov. 17. This 4-week on-demand seminar covers the theory and practice of maximum likelihood and multiple imputation, two of the latest and most accurate methods to handle #missingdata, all using #Rstats.

Join Daniel J. Henderson for "Fundamentals of Time Series Analysis" on November 12-14 for an introduction to time series methods for univariate and multivariate models. Learn how to program and apply these methods in practice using #Rstats and how to present results.

Join "Psychometrics" w/ @mattadiemer.bsky.social on Nov. 12-14 to learn about #psychometrics and how to to understand, detect, and remediate bias in measures. Topics include exploratory factor analyses, confirmatory factor analyses, MIMIC models, invariance & more.

What is the epigenome, and why does it matter? Find out in Jennifer Smith’s "Introduction to Epigenomics," Nov. 5-7. You'll learn to manage, clean, & model #epigenomic data, understand DNA methylation, and create & use biomarkers to enhance your health & environmental research.

Join "Latent Transition Analysis" on Oct. 31-Nov. 1 w/ Bethany Bray and Stephanie Lanza. Extend your latent class and latent profile analyses (LCA & LPA) skills to longitudinal data with LTA and learn how to examine how subgroup memberships change over time.

Distinguished Speaker, Benjamin Bolker (@bbolker.bsky.social), presents “Mixed Models in the Wild: Techniques, Workflows, and Challenges,” Nov. 18. He’ll cover core concepts, walk through modeling workflows, and address common challenges like sparse data and model complexity.

Earn your Measurement and Psychometrics Certification! Gain the skills and recognition that showcase your ability to design, test, and validate measures with confidence. Contact us to learn more.

Expand your #Python skillset w/ Adam Rennhoff’s "Python for #Rstats Users", Oct. 29-30. Discover how to leverage Python’s strengths within your familiar RStudio environment & take advantage of Python’s superior abilities to work with 'big data' and fit models.

Join Boris Nikolaev on Oct 22-23 for "Data Analysis with ChatGPT: A Practical Introduction"! Explore the strengths and limitations of ChatGPT as a data analysis tool in real-world scenarios to work with complex data and create compelling visualizations.

Learn to create and publish a professional, data-focused website in “Create an Online Presence with Quarto Websites” on October 16-17, with @andrew.heiss.phd‬! Discover how to use #Quarto to build a variety of websites like personal portfolios, research compendiums, and interactive dashboards.

From disease surveillance to healthcare access, spatial analysis transforms health research. See how in Simon Brewer’s "Spatial Analysis of Health Data" seminar, Dec. 4-6--learn mapping, regression, & spatiotemporal methods. View the 1st hour now: youtu.be/7vUiqoCiqsE

Discover how to apply mediation & moderation analysis in within-subject designs. Join @akmontoya.bsky.social's seminar Nov. 20-21 to learn to interpret & estimate total, direct, indirect, and conditional effects using the MEMORE macro, developed by the instructor. Watch the first hour now.