posit::conf(2024) workshops

Title	Instructor(s)	Description
Advanced Shiny for Python	Gordon Shotwell	Take your Shiny apps to the next level with modules
Advanced Tidymodels	Max Kuhn	An advanced class to learn how to use tidymodels to optimize different models, conduct feature engineering, and other activities.
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.
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.
Causal Inference in R	Malcolm Barrett, Travis Gerke	Learn to answer causal questions with causal diagrams, propensity score modeling, and more.
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.
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.
Databases with R	Kirill Müller	An introduction to databases and DuckDB with R.
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.
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.
From R User to R Programmer	Emma Rand, Ian Lyttle	Improve your R programming skills and reduce the amount of duplication in your code.
Intro to MLOps with vetiver	Isabel Zimmerman	Utilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production.
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.
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.
Introduction to Quarto	Andrew Bray	Author a rich array of documents in Quarto.
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.
Introduction to Shiny for R	Colin Rundel	Introduction to builing interactive web apps using Shiny and R
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.
Introduction to tidymodels	Hannah Frick, Simon Couch	Machine learning with tabular data using the tidymodels framework.
Level Up with Shiny for R	Garrick Aden-Buie	Level up your Shiny skills to build complex applications with brilliant user interfaces.
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.
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).
Quarto Websites	Charlotte Wickham, Emil Hvitfeldt	Build a website from scratch with Quarto.
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.
Using Databricks with R	Edgar Ruiz	Overview of the latests methods to connect, and interact with Databricks services.
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.