1062 Delaware Street, Denver, CO
Speakers : Sean Lopp and friends from Rstudio
At RStudio we think about a model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modelling, and visualizing data, and ends with communicating results. We've built tools and packages to help you succeed across this cycle: RStudio and Notebooks for interactive development, the Tidyverse for making data science easier and more effective, and R Markdown, Shiny, and the new RStudio Connect (Pro) for communicating results. In this talk we'll share the way we think about data science and our toolchain.
Refreshments kindly provided by Rstudio
Data Scientist at Datalogix | Oracle Data Clould
M.S. biostatistics from CU Denver.
Data analyst for WebFilings
MS Statistician at UCD-AMC and Children's Colorado
Engineer at Revolution Analytics
Data scientist; PhD in public policy and economics
I have a PhD in physical oceanography and am interested in transitioning into a data science career.
I'm an engineer at Level 3 Communications, currently involved with Content Delivery Networks (CDN).