RStudio Team Admin Training – Remotely
RStudio Team is a bundle of professional software for statistical data analysis, package management and data product exchange. As a certified RStudio partner, we will train you in the proper use of RStudio Team – in German. We will help you get started with the implementation, configuration and use of RStudio Server Pro, RStudio Connect and RStudio Package Manager. We combine the proven RStudio course program with our expertise as one of the leading R integrators.
Location: In the home office, office or from the balcony: Our webinars offer you the flexibility you need in the current situation.
Price: € 499,-
Course language: German
RStudio Team Admin Training | 15 – 18 June 2020 | 09:00 am to 13:00 pm
Find out how you can exploit the many possibilities of RStudio products for your company. Basic experience in using the Linux command line is recommended as previous knowledge for this course. Deeper R knowledge is not necessary.
RStudio Server Pro
- Security and authentication (Kerberos integration, configuration with LDAP etc.)
- R startup and package installation
- Configuration (Using RStudio Floating License Manager)
- Deployment of simple applications
- Deployment and scaling of Shiny Apps
- Deployment of R Markdown Reports
- Use of APIs
RStudio Package Manager
- Installation on a server
- Configuration & Use of the RSPM Command Line Interface (CLI)
- Use of package repositories
It also provides first-hand insights into troubleshooting, common pitfalls, and tools to quickly identify the causes of errors.
In this course, you will build a sandbox environment and learn how to use RStudio Team through hands-on exercises. We will provide you with a virtual environment in the cloud to which you connect via SSH and browser.
Vanessa Roy - Posted on 14.05.2020
Vanessa Roy studiert Business Studies an der Universität Kassel und unterstützt das Marketing bei der eoda GmbH. Neben den abwechslungsreichen Tätigkeiten in diesem Bereich, schätzt sie ebenfalls die tiefgründigen Einblicke in die facettenreichen Entwicklungen im Rahmen von Data Science.