Online Tutorials

Date Time Duration Speakers Title/Registration link (when available)
Tuesday, July 14, 2020 15:00 UTC 02:00 Dirk Eddelbuettel Seamless R and C++ integration with Rcpp
Tuesday, July 21, 2020 18:00 UTC 02:00 Sam Tyner Creating beautiful data visualizations in R: a ggplot2 crash course
Thursday, July 23, 2020 01:30 UTC 02:00 ZJ Dai Easy Larger-than-RAM data manipulation with disk.frame
Thursday, July 23, 2020 15:30 UTC 02:00 John Blischak, Peter Carbonetto Create and share reproducible code with R Markdown and workflowr
Friday, July 24, 2020 20:00 UTC 01:30 Julia Silge, Emil Hvitfeldt Predictive modeling with text using tidy data principles
Monday, July 27, 2020 14:00 UTC 03:00 Sebastien Rochette, Dorris Scott, Jakub Nowosad First steps in spatial data handling and visualization
Wednesday, July 29, 2020 16:00 UTC 02:00 Lucy D’Agostino McGowan, Malcom Barrett Causal inference in R
Friday, July 31, 2020 13:00 UTC 02:30 Colin Gillespie, Rhian Davies Getting the most out of Git
Tuesday, August 04, 2020 15:00 UTC 04:00 Will Landau Reproducible computation at scale with drake: hands-on practice with a machine learning project
Friday, August 07, 2020 15:00 UTC 03:00 Bernd Bischl, Michel Lang Machine Learning with mlr3
Friday, August 07, 2020 16:00 UTC 02:30 Savin Goyal, Bryan Galvin, Jason Ge End-to-end machine learning with Metaflow: Going from prototype to production with Netflix’s open source project for reproducible data science
Saturday, August 15, 2020 16:00 UTC 03:30 Connie Brett Periscope and CanvasXpress – Creating an enterprise-grade big-data visualization application in a day
Saturday, September 19, 2020 16:00 UTC 03:00 Edzer Pebesma, Martijn Tennekes Analyzing and visualising spatial and spatiotemporal data cubes
Monday, September 21, 2020 15:00 UTC 02:00 Denise Scholtens, Raji Balasubramanian Application of Gaussian graphical models to metabolomics
TBD TBD NA Shirin Elsinghorst Deep Learning with Keras and TensorFlow