/ds-for-sysadmins

Primary LanguagePythonCreative Commons Attribution Share Alike 4.0 InternationalCC-BY-SA-4.0

How Data Science with R works for Systems Administrators

rstudio::conf 2022

by Alex Gold


INSTRUCTIONS FOR INSTRUCTORS: Please insert information about your workshop below. Then, add workshop content in the materials folder and link to each session’s materials from the schedule below. You are welcomed to add more rows to the schedule. We just ask that you take breaks at the specified times. Once you are done adding information, you can remove these instructions from the README.


🗓️ July 25 and 26, 2022
⏰ 09:00 - 17:00
🏨 [ADD ROOM]
✍️ rstd.io/conf


Overview

Attendees will learn about RStudio pro product architectures, how to install and manage extension packages in the local environment, as well as how to manage these packages on your network. You’ll also learn about the challenges that face developers and administrators in scaling environments and optimising R code. You’ll uncover many of the R internal systems that govern the way that it works, as well as the mechanisms employed by RStudio’s pro offerings that harness and elevate those systems in production settings. Admins will learn to better understand and serve their data scientist customers and data scientists will learn about the complexity and constraints of running production R environments.

Learning objectives

How to use RStudio’s Pro Products to administer data science at scale.

Is this course for me?

System administrators seeking to better understand R and RStudio’s pro products as well as data scientists, who need to take a more active role in the administration of R-based environments.

Prework

None required.

Schedule

Day 1

Time Activity
09:00 - 10:30 Session 1
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2
12:30 - 13:30 Lunch break
13:30 - 15:00 Session 3
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4

Day 2

Time Activity
09:00 - 10:30 Session 1
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2
12:30 - 13:30 Lunch break
13:30 - 15:00 Session 3
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4

Instructor

Alex Gold is the Senior Manager of RStudio's Solutions Engineering team.


This work is licensed under a Creative Commons Attribution 4.0 International License.