Stan Class | April 22-24, 2020

Learn Bayesian Data Analysis (BDA) and Markov chain Monte Carlo (MCMC) computation using Stan with Stan developer Jonah Gabry.

This three-day workshop will be taught by Jonah Gabry. Jonah is a Stan developer based at Columbia University and the developer of many R packages for applied Bayesian data analysis (rstan, rstanarm, rstantools, bayesplot, shinystan, loo). Jonah will be joined by fellow Stan developers Ben Bales and Rob Trangucci, special guest Andrew Gelman, and other members of the Stan Development Team will make some guest appearances at various times throughout the course.

Participants will receive a copy of Andrew Gelman’s landmark book Bayesian Data Analysis. Proceeds from the class support further development of Stan and the New York Open Statistical Programming Meetup. We will be offering virtual access to the workshop in addition to holding it at the New York–Presbyterian Hospital. For those who wish to join the physical workshop, which will include no more than 20 attendees at NYP, you can still do so. In the next few weeks, we will provide signup instructions for virtual workshop access for those who choose to join remotely. Virtual access will afford you the ability to ask questions, participate, and engage in an active way.

The course description, location, and to register, visit the Ticket Page.

New York R Conference | June 11 - 13, 2020

Workshops | June 11, 2020

Conference | June 12 - 13, 2020

The sixth annual R Conference | New York will take place June 12-13, 2020 at Florence Gould Hall, with workshops on May 7th. Early Bird admission is now available through February!

We will be gathering a great group of data scientists like Andrew Gelman, Emily Robinson, David Smith, Erin LeDell and Max Kuhn with so many more great speakers joining us. To see what it’s like you can check out past New York highlights and past Washington, D.C. highlights.

Following their popular introduction last year, workshops will be held prior to the Conference. These exciting classes will be available on May 7th:

Exploring Data With the Tidyverse with David Robinson Geospatial Statistics and Mapping in R with Kaz Sakamoto Git for Data Science with Daniel Chen Machine Learning in R with Max Kuhn Machine learning in Python with scikit-learn by Andreas Mueller

A big thank you to conference sponsors Microsoft, Flatiron School, Codecademy, CloudFactory, Pearson and NausicaaDistribution. You can contact Lander Analytics if you would like to sponsor.

For more about the community, visit our website at, join our slack team and follow us on Twitter at @nyhackr and @rstatsnyc and follow the #rstatsnyc hashtag.