Workshops & Talks
Practical sessions on R, data visualisation, health modelling, spatial analysis, and reproducible workflows. Browse the recordings or explore workshop materials.
The Carpentries
Selected workshops delivered for the CDC, the University of Washington and NNLM, and the Helmholtz Information & Data Science Academy. These cards link to the workshop websites and shared notes.
Software Carpentry: Shell, Git, and R
R-Ladies
Explore sessions I presented, co-taught, or hosted for R-Ladies chapters. Watch the recordings or open a card’s details for code and materials. The Roots of AI currently links to workshop materials.
18 sessions · 17 recordings
Watch recording
Machine Learning in Epidemiology with R — Part 2
Session details & materials
Read heart-data random forest results, then prepare, fit, and evaluate a neural network with Keras and mlr3.
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Introduction to Machine Learning in Epidemiology with R
Session details & materials
Build a regression model with gradient descent, then explore training, evaluation, and interpretation with mlr3.
The Roots of AI: NLP and N-gram Models in R
Session details & materials
Explore tokenisation, n-grams, and next-word prediction to connect statistical language models with modern AI.
Watch recording
Git & GitHub: Practical Version Control for Data Work
Session details & materials
Understand the terminal, local repositories, staging, commits, and collaboration through GitHub.
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From Basics to Advanced Health Analytics: Exploring Diabetes Data
Session details & materials
An exploratory analysis of simulated diabetes data, co-taught with Rafaela Ribeiro Lucas and Lucy Michaels.
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Speaking Many Languages: Finding Power and Joy in R and Python
Session details & materials
A keynote at INGV on working across R and Python, with side-by-side examples. The video contains the full community event.
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From R to Python: A Gentle Introduction
Session details & materials
Move from familiar R concepts to Python, with practical examples for data analysis.
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AI, Actuarial Science, and R: A New Era of Risk Modeling
Session details & materials
Explore artificial intelligence and statistical methods in actuarial work, insurance, and risk modelling.
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Data Wrangling Practice with R
Session details & materials
Practise importing, cleaning, reshaping, and joining data with the tidyverse.
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Building a website with R and Quarto
Session details & materials
Learn the basics of Quarto, build a personal website, and publish your work online.
Abstract: In this video, you’ll learn how to make a website in R with Quarto. We’ll explore the basics of Quarto and how to publish a website. The tutorial is designed to be accessible to beginners, with no prior experience required. By the end of the session, you will have a fully functional website that you can use to showcase your projects and achievements.
Material:
- Github repository: https://github.com/Fgazzelloni/building_a_website_in_r
- Final version of the Website: https://fgazzelloni.quarto.pub/my-website-in-r–quarto/
Resources:
- Quarto Docs: https://quarto.org/docs/websites/
- CSS customization for your website: https://www.w3schools.com/css/
- Background image (change - “pink” with your favorite pick): https://www.pexels.com/search/pink/
Watch recording
Replicating Du Bois with R
Session details & materials
Recreate a Du Bois challenge plate with ggplot2 and explore its colours and visual design.
Abstract: In this video, you’ll learn how to use {ggplot2} to replicate one of the ongoing #DuboisChallenge2024 plates. The original plates are part of W.E.B. Du Bois’s legacy from back in 1900, showcased at the Paris Exposition. I’ll be using modern tools such as R. We’ll explore the colors used in the plates and delve into the intricacies of the challenge by understanding the perspective of hand-made graphs in the ‘Duboisian’ style.
Material:
Watch recording
Data Visualization Practice Session
Session details & materials
A live coding session in Italian and English, using Gapminder data to build and export a ggplot2 scatterplot.
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Career Development Talk
Session details
A community discussion with R-Ladies Rome organisers and members, sharing career experiences in data science and statistics.
Group discussion covering career advice, personal experiences, and academic statistics career paths.
Event recap
Watch recording
Mastering R II: The Journey Continues
Session details & materials
Analyse insurance data, create visualisations, explore modelling, and bring the results into a report.
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R/Bioconductor Watch Party: Event Recap
Session details & materials
A hosted recap of the in-person BioC2023 watch party at Sapienza University, with links to the original conference talks.
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Mastering R: An Intensive Crash Course for Data Enthusiasts!
Session details & materials
Get started with R, RStudio, tidyverse, and ggplot2 through a TidyTuesday data analysis.
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Modelling infectious diseases with R
Session details & materials
Explore deterministic SIR models and a Bayesian workflow for disease transmission.
Abstract: In this video, you will learn about Modeling infectious diseases with R using both deterministic and Bayesian SIR model methods. We will explore both Deterministic and Bayesian SIR model methods, and learn how to use the well-known SIR model to understand how epidemics unfold and how to prevent their spread.
This video is perfect for students of science, healthcare professionals, or anyone who wants to gain a deeper understanding of how to use R for Modeling infectious diseases.
Agenda:
- Introduction presentation of the Chapters and R-Ladies Global action
- SIR model with R - quick intro assessment (Speaker Federica Gazzelloni)
- Bayesian workflow for disease transmission (Speaker Jacqueline Buros)
- Q&A session
Material:
Watch recording
Spatial modelling with R
Session details & materials
Make maps and explore spatial models with R, using the oregonfrogs dataset.
Abstract: This tutorial is meant for people new to spatial analysis and modeling with RStudio but comfortable in making simple data visualization with ggplot2. In this video, you will learn how to make a map with RStudio, and how to use data modeling for making spatial model analysis.
Material: It is helpful to have the following R packages installed beforehand: {tidyverse}, {ggthemes}, {maptools}, {ggmap}, {sf}, {spocc}, {dismo}, {SpatialEpi}, and {oregonfrogs} dataset from
remotes::install_github("fgazzelloni/oregonfrogs")
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Explore the full R-Ladies Rome event archive, including sessions by guest speakers.
DSLC
Selected recordings from the Data Science Learning Community book clubs and Project Club. Start with my book, spatial modelling, and the oregonfrogs package, or explore the wider selection.
Conference talks
Recordings from conferences on R, data science, and community learning.
Watch recording
ShinyConf 2024: Shiny4Good
Session details
How Shiny book clubs support practical learning and knowledge sharing in the Data Science Learning Community.
Abstract: This talk will offer insights gained from active participation in the Data Science Learning Community through participation in Shiny book clubs. By exploring the unique dynamics of these forums, I will highlight the collaborative and knowledge-sharing atmosphere that the Data Science Learning Community cultivates. The talk will draw examples from the book clubs to illustrate how practical discussions and exercises amplify the learning experience.
Topics: beginner, Shiny4Good, Shiny apps, R, data science.