R for Data Visualisation
This course will super-charge your productivity with better data wrangling and visualisation skills.Live online
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Description
The Scottish Digital Academy is working in partnership with This is Milk to deliver this course.
This three week course will introduce you to R and RStudio. The course is split in to 6 sessions over a 3 week period with self led training in between each session.
What are the benefits?
By attending this course, you will learn how to create powerful data visualisations using R and RStudio.
You will practice creating RStudio projects and writing and running your own R scripts. You will get hands-on experience creating visualisations like scatter plots, boxplots, histograms, time series plots, static and interactive maps. You will also get the opportunity to start applying what you have learned to your own work or interests.
The first half of the course will involve working with datasets and problems provided by the instructor. For the second half of the course, you will be working with your own datasets and self-defined problems (e.g. something you’re interested in for your day-to-day work).
Schedule
Week 1
Session 1 – Wednesday (1 hour)
Session 2 – Friday (1 hour)
Week 2
Session 3 – Wednesday (1 hour)
Session 4 – Friday (1.5 hours)
Week 3
Session 5 – Wednesday (1.5 hours)
Session 6 – Friday (1.5 hours)
Who is it for?
This course is for anyone working in the public or third sectors in Scotland.
Delivery format
The course will be delivered online via Teams.
We encourage you to turn on your camera, however this is not a mandatory requirement. If you have any learning requirements, please contact us before the course begins.
Fees and funding
This course is funded by the Scottish Digital Academy. Please read our terms and conditions and note that a fee may be payable for late cancellation or non-attendance.
Additional information
Once you have registered, you will receive a confirmation email from us. There may be additional information contained within the email. The course joining instructions will be issued one week before the course start date to your registered email address.