Register event
Subscribe to Filter
Importing into Google Calendar
In the left-hand column of the Google Calendar main view, click the arrow to the right of "Other calendars" and click "Add by URL". In the form that appears, paste in the URL from the box above, and click the button to confirm.
Please note, it may take a while for newly created events in DReSA to synchronise with your Google Calendar.
1 event found
Content provider: QCIF
-
Introduction to Programming: R for Reproducible Scientific Analysis
9 - 12 December 2024
Introduction to Programming: R for Reproducible Scientific Analysis https://www.qcif.edu.au/trainingcourses/introduction-to-programming%3A-r-for-reproducible-scientific-analysis/ https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-243123dd-470a-4bc9-8601-bcc0d5ad6e4b This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
-
Introduction to Programming: R for Reproducible Scientific Analysis
9 - 12 December 2024
Introduction to Programming: R for Reproducible Scientific Analysis https://www.qcif.edu.au/trainingcourses/introduction-to-programming%3A-r-for-reproducible-scientific-analysis/ https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-243123dd-470a-4bc9-8601-bcc0d5ad6e4b This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
Note, this map only displays events that have geolocation information in
DReSA.
For the complete list of events in DReSA, click the grid tab.