Are you working with R or Python for your data analytics, but find yourself lacking a good way to share insights and communicate data? Do you need a solution which allows you to automatically generate up to date scientific and technical documentation? If so, then Quarto, the latest open-source reporting framework from Posit, might be right up your alley! Join our “Automated Reporting with Quarto” Masterclass and learn how to harness the power of Quarto, to dynamically create and share high quality reports and presentations, fit these reports into your existing R or Python workflow and have all your favourite analytics built straight in!
Note: All our trainings are supported by fully qualified software engineers and interface design experts trained under our partnership with Posit to bring best practice to participants; whatever their background.
Check out our Masterclasses on R Shiny and Shiny for Python
Where
Online Masterclass
When
10–21 March 2025
Please register interest to be informed when registration opens
Why Quarto?
Quarto is one of Posit’s latest multi-language reporting offerings. Having been rigorously developed by the team at Posit as the ‘successor’ to R Markdown, the framework offers full backwards compatibility with the original features of R Markdown, along with new features such as language support for Python and Julia, formats such as RevealJS presentations, HTML, PDF, Microsoft Word, even website and ebook formats! You can even use Quarto documents as an environment for your data science experimentation, thanks to the multi-language integration which allows you to run code directly from the Quarto document itself.
The framework also uses a rich Markdown syntax to provide access to powerful technical and scientific notations such as equations, citations, figures, cross-references, advanced layouts and more. Quarto documents can easily be automated and published to online services such as Posit Connect or Confluence whenever your data changes.
You can be sure that your Quarto documents will be fully reproducible, easily extendable with insightful visualisations, and easily shared and updated to communicate your findings to the decision makers who need them most.
Schedule
Session start times*
North America:
Los Angeles (PDT) 12pm
Toronto (EDT) 3pm
Europe:
London (BST) 8pm
Paris (CEST) 9pm
Oceania (next day):
Sydney (AEST) 7am
New Zealand (NZDT) 9am
Each session is 90 min long (online Zoom tutorial). We also recommend putting some time aside in-between the sessions to work on assignments and to practice in your own time, ideally at least one hour. A detailed schedule will be provided after registration.
Session dates: 10, 11, 13, 17, 18, 20 February 2025
* Note: times indicate the start time of the first session, but these may change due to daylight savings. Sessions will always begin at 9am New Zealand time.