Nathan Stephens

Nathan has a background in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a long time user of R.

  • How to excel without using Excel14:21

    How to excel without using Excel

    There are many limitations of using Excel for your reports. RStudio makes reports and applications easy (and reproducible) using R.

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  • Best Practices for Administering RStudio in Production44:28

    Best Practices for Administering RStudio in Production

    Most organizations are unfamiliar with the R programming language. As a result they often struggle to onboard and manage R in production. In this webinar we introduce the RStudio Quickstart...

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  • Make PowerPoint Presentations with R Markdown41:55

    Make PowerPoint Presentations with R Markdown

    This webinar demonstrates how to create feature rich PowerPoint presentations from R Markdown and how to use these presentations to share insights, visualizations, Shiny apps, and more.

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  • Professional R tooling and integration - Nathan Stephens41:12

    Professional R tooling and integration - Nathan Stephens

    Many organizations do not officially recognize R as a standard or integrate R with IT managed systems. Yet these same organizations employ data science teams that use R on a daily basis.

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  • The R Admin is rad: A guide to professional R tooling and integration24:52

    The R Admin is rad: A guide to professional R tooling and integration

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  • RStudio Drivers Overview45:04

    RStudio Drivers Overview

    RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases.

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  • The tidyverse and RStudio Connect 43:43

    The tidyverse and RStudio Connect

    A model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modeling, and visualizing data, and ends with communication.

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  • Sparklyr: Using Spark with RMarkdown40:56

    Sparklyr: Using Spark with RMarkdown

    RStudio recently announced a new open-source package called sparklyr that facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib

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