Cloud Based Data Science

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Lou Bajuk & Kevin Bolger | Why Data Science in the Cloud? | RStudio (2020)

As business and organizational needs expand, a centralized ecosystem such as the cloud is needed to securely store and access data, conduct analyses, and share results. We’ll share some examples of what it means to do data science in the cloud and discuss some problems that users may face along the way, and the solutions that RStudio products can provide. We’ll also discuss best practices for migrating to a cloud environment. What you’ll learn: What are the benefits of working in a cloud environment? What are the different cloud environments available? How do I learn which is the best fit for my organization? What should I consider when migrating my data science infrastructure to the cloud? Webinar materials: https://rstudio.com/resources/webinars/why-data-science-in-the-cloud/ About Lou: Lou is a passionate advocate for data science software, and has had many years of experience in a variety of leadership roles in large and small software companies, including product marketing, product management, engineering and customer success. In his spare time, his interests includes books, cycling, science advocacy, great food and theater. About Kevin: After finishing his education in the University of Limerick, Ireland – Kevin’s passion for data science was cemented. Focusing primarily on data analytics and modelling, he went on to spend the first years of his career working at a biopharmaceutical company, where he led the data team on multiple products. Since moving to Seattle with his Washington native wife, Kevin has spent his spare time enjoying the beautiful PNW and playing ‘hurling’, an ancient gaelic field sport with the Seattle Gaels. He now leads the Data Science team at ProCogia as the Director of Data Solutions – where he works with clients from Biotech to Telecom

rstudio webinars 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 Lou Bajuk Kevin Bolger Cloud Based Data Science Cloud

Kevin Bolger & Oisin Bates | Architecting RStudio Products in the Cloud | RStudio (2020)

Part of RStudio’s Data Science in the Cloud Webinar Series. About Kevin: After finishing his education in the University of Limerick, Ireland – Kevin’s passion for data science was cemented. Focusing primarily on data analytics and modelling, he went on to spend the first years of his career working at a biopharmaceutical company, where he led the data team on multiple products. Since moving to Seattle with his Washington native wife, Kevin has spent his spare time enjoying the beautiful PNW and playing ‘hurling’, an ancient gaelic field sport with the Seattle Gaels. He now leads the Data Science team at ProCogia as the Director of Data Solutions – where he works with clients from Biotech to Telecom. About Oisin: Oisin is a data science and AWS Cloud Architect for ProCogia

rstudio RStudio Data Science Machine Learning Python Stats 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 Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Forcats RStats Open Source OSS Reticulate Kevin Bolger Oisin Bates Cloud Cloud Based Data Science Data Science Cloud

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Cloud Based Data Science

Lou Bajuk & Kevin Bolger | Why Data Science in the Cloud? | RStudio (2020)

Kevin Bolger & Oisin Bates | Architecting RStudio Products in the Cloud | RStudio (2020)

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