Distinguished Speaker, Benjamin Bolker, 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.

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 solutions using #Rstats.

Join @RoyLevy11 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, like factor analysis, structural equation models, and multilevel models.

Check out the @datascienceAH 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 @dmcneish18, 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". Learn 2 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 Avg.) models capture trends & seasonality where regression fails. Check out the SH blog & 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 @cmabramson 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 @AmandaKMontoya, 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 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/ Matthew Diemer 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.

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 & publish a professional, data-focused website in “Create an Online Presence with Quarto Websites” on Oct. 16-17, w/ Andrew Heiss! Discover how to use #Quarto to build a variety of websites like personal portfolios, research compendiums, & 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: