Enabling Remote Data Science Teams | RStudio (2020)
Whatever happens in the coming months, remote work is here to stay. The goal of this webinar is to provide data scientists and data science team leaders with the knowledge and tools to succeed as a distributed team. Some of the topics we will cover include:
- Setting up a remote and collaborative R environment
- Version control and Scrum
- Using Shiny and RStudio Connect to share apps within and across teams
- How to improve the UI and appearance of Shiny dashboards
- How to scale Shiny dashboards to hundreds of users
- How to build and grow a remote data science team
About Alex:
Alex is a Solutions Engineer at RStudio, where he helps organizations succeed using R and RStudio products. Before coming to RStudio, Alex was a data scientist and worked on economic policy research, political campaigns, and federal consulting.
About Olga:
Olga is experienced in production applications of analytical solutions, especially for FMCG companies. Recently she developed a price elasticity model for Unilever.
About Damian:
Damian is one of the four co-founders of Appsilon. Before founding Appsilon he worked at Accenture, UBS, Microsoft and Domino Data Lab.
About Pedro:
Pedro has nearly a decade of experience combining frontend and backend technologies, and is an expert on augmenting R Shiny dashboards with CSS and JavaScript
rstudio
Shiny
RStudio
Data Science
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
Rmarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Dplyr
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Odbc
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Forcats
Rstats
Open Source
Oss
Reticulate
Version Control
Scrum
RStudio Connect
Dashboards
Remote Work
