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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