Name: [Online] Bayesian Data Analysis with BRMS
Start: 2023-02-28T19:00:00-05:00
End: 2023-02-28T20:00:00-05:00

R-Ladies NYC is co-hosting a webinar with [Data Umbrella](https://www.meetup.com/data-umbrella/)!

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How to Join the Webinar
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You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar [here](https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar).

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Video Recording
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This event will be recorded and placed on Data Umbrella's YouTube. Videos are usually up within 24 hours of the event. Subscribe to their [YouTube](https://www.youtube.com/c/DataUmbrella/) and set your notifications.

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Time
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4pm PT / 7pm ET / 00:00 UTC/ 3am EAT / 5:30 am IST

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Additional Details
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**Talk Level:** Intermediate
**Pre-reqs:** Statistical modeling knowledge. For example, regression, time-series data analysis.
**Prep Work:** None
**Resources:** [Materials on GitHub](https://github.com/generable/workshop-materials/raw/master/presentations/Bayesian_Multilevel_Modeling_brms_Stan.pdf)

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Connect with Data Umbrella
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We invite you to follow Data Umbrella on their social networking sites to keep up to date on the latest news they will be sharing.

* [Meetup](https://www.meetup.com/data-umbrella/)
* [Job Board](https://jobs.dataumbrella.org/)
* [Newsletter](https://dataumbrella.substack.com/)
* [Twitter](https://twitter.com/DataUmbrella)
* [YouTube](https://www.youtube.com/c/dataumbrella)
* [LinkedIn](www.linkedin.com/company/dataumbrella/)
* [Instagram](https://www.instagram.com/data.umbrella/)

Dorota Rizik

R-Ladies New York

R-Ladies

Technology

Open Source

Women Programmers

Education & Technology

Data Analytics

Data Visualization

Computer Programming

Big Data

Data

Mitzi Morris is a member of the Stan Development Team and serves on the Stan Governing Body. Since 2017 she has been a full-time Stan developer, working for Professor Andrew Gelman at Columbia University, where she has contributed to the core Stan C++ platform and developed CmdStanPy, a modern Python interface for Stan. She is also as an active Stan user, developing, publishing, and presenting on Bayesian models for disease mapping. Prior to that she has worked as a software engineer in both academia and industry, working on natural language processing and search applications as well as data analysis pipelines for genomics and bioinformatics.

Mitzi Morris

[Online] Bayesian Data Analysis with BRMS

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