Commercial enterprise offerings

Talk recordings and workshop materials from posit::conf(2024)

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Written by Isabella Velásquez
2024-10-31

posit::conf(2024) wrapped up in August, but the learning doesn’t stop here! Thanks to our inspiring speakers, expert workshop instructors, and dedicated TAs, we’ve gathered a wealth of resources for you. Find over 30 hours of great content covering the tidyverse, tidymodels, RStudio, Shiny, Quarto, machine learning, AI in data science, package development, use cases, and so much more. There’s plenty to explore and learn!

Talk recordings

Keynote and talk recordings are available on YouTube.

VIEW PLAYLIST

Explore talk titles, speakers, and abstracts in the table below, built with the new reactable-py package by Michael Chow!

Workshop materials

The first day of conf consisted of workshops delivered by data science experts from Posit and beyond. The workshop materials are free to use and share under the CC BY-SA 4.0 License. We don’t record the workshops, but several Posit instructors are releasing videos of their workshops on the Posit YouTube channel. Be sure to subscribe to be alerted when they’re available!

(This table was created using the Python package Great Tables).

Title Instructor(s) Description Materials
Advanced Tidymodels Max Kuhn An advanced class to learn how to use tidymodels to optimize different models, conduct feature engineering, and other activities. Link
Big Data in R with Arrow Nic Crane, Steph Hazlitt An introduction to Apache Arrow for creating efficient analysis pipelines with larger-than-memory data in R. Link
Build-a-Dashboard Workshop (with Quarto, R and/or Python) Mine Çetinkaya-Rundel Create sleek, elegant, and eye-catching dashboards with static and/or interactive elements with Quarto. For R and Python users. Link
Causal Inference in R Malcolm Barrett, Travis Gerke Learn to answer causal questions with causal diagrams, propensity score modeling, and more. Link
Data Science Workflows with Posit Tools — Python Focus Sam Edwardes, Gagandeep Singh Build an opinionated and Pythonic data science workflow using Posit’s professional products and open-source tools. Link
Data Science Workflows with Posit Tools — R Focus Ryan Johnson, Katie Masiello Use open source packages and Posit’s professional tools — Workbench, Connect, and Package Manager — to improve your end-to-end data science workflows. Link
Databases with R Kirill Müller An introduction to databases and DuckDB with R. Link
DevOps for Data Scientists Rika Gorn This workshop is intended for data scientists who wish to learn more about the basic principles and tools of DevOps and to get hands-on experience putting DevOps workflows into production. Link
Effective data visualization with ggplot2 Claus O. Wilke Level up your figure design skills with advanced tips and tricks for ggplot2 and with fundamental principles of visual communication. Link
Flavors of the pharmaverse Daniel D. Sjoberg, Becca Krouse, Daniel D. Sjoberg, Ellis Hughes, Andrew Bates, Casey Aguilar-Gervase High level overview of the scope and tools available within the pharmaverse for the clinical pipeline, including tools for ADaM data set curation, creating Analysis Results Data Sets, and TLGs. Link
From R User to R Programmer Emma Rand, Ian Lyttle Improve your R programming skills and reduce the amount of duplication in your code. Link
Intro to MLOps with vetiver Isabel Zimmerman, Julia Silge Utilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production. Link
Introduction to Data Science with Python Posit Academy Team Learn the foundations of Python for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. Link
Introduction to Data Science with R and Tidyverse Posit Academy Team Learn the foundations of R for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. Link
Introduction to Quarto Andrew Bray Author a rich array of documents in Quarto. Link
Introduction to Shiny for Python Garrett Grolemund, Andrie de Vries Learn the basic building blocks of Shiny for Python, including the new Shiny Express syntax. Link
Introduction to Shiny for R Colin Rundel Introduction to builing interactive web apps using Shiny and R Link
Introduction to machine learning in Python with Scikit-learn Tiffany Timbers, Trevor Campbell Machine learning with tabular data using Python’s the Scikit-learn framework. Link
Introduction to tidymodels Hannah Frick, Simon Couch Machine learning with tabular data using the tidymodels framework. Link
Level Up with Shiny for R Garrick Aden-Buie Level up your Shiny skills to build complex applications with brilliant user interfaces. Link
Making Tables with gt and Great Tables Richard Iannone, Michael Chow Create publication-quality tables with gt and Great Tables. For R and Python users. Link
Package Development: The Rest of the Owl Jenny Bryan Learn what’s different about writing R code that lives in a package (vs. a script). Link
Quarto Websites Charlotte Wickham, Emil Hvitfeldt Build a website from scratch with Quarto. Link
R in Production Hadley Wickham Learn how to write robust R code that both works reliably in production, and when it fails, is easy to debug. Link
Using Databricks with R Edgar Ruiz Overview of the latests methods to connect, and interact with Databricks services. Link
What They Forgot To Teach You About R Shannon Pileggi, E. David Aja This workshop is designed to level up experienced R programmers in debugging and personal R administration. Link

Join us next year!

Mark your calendars: posit::conf(2025) will take place in Atlanta, Georgia, from September 16 to 18. Sign up for our Events emails to stay updated on ticket sales.

In the meantime:

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Isabella Velásquez

Sr. Product Marketing Manager at Posit, PBC
Isabella is a content strategist, data enthusiast, and author. Her goal is to drive engagement around all the awesome things happening at Posit.

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