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9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130 Genome-wide association analysis and post-analytic interrogation with R (Part 1) Wallenberg Hall 124 Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 1) McDowell & Cranston Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140 Small Area Estimation with R (Part 1) Lane Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130 Genome-wide association analysis and post-analytic interrogation with R (Part 2) Wallenberg Hall 124 Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 2) McDowell & Cranston Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140 Small Area Estimation with R (Part 2) Lane Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2) Barnes Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Effective Shiny Programming (Part 1) McCaw Hall Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall Introduction to SparkR (Part 1) Econ 140 Missing Value Imputation with R (Part 1) Barnes Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Effective Shiny Programming (Part 2) McCaw Hall Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall Introduction to SparkR (Part 2) Econ 140 Missing Value Imputation with R (Part 2) Barnes Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston Using R with Jupyter notebooks for reproducible research (Part 2) SIEPR 120