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Organised by Centre for Applied Statistics, delivered by R-studio certified and industry expert: Ìý

Note:ÌýThis course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.

Course Content

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Day 1: {tidyverse} 11th October 2024Ìý

• Ìý Ìý Ìý Ìý What is a framework package and the packages within tidyverse.
• Ìý Ìý Ìý ÌýÌýLearn and use the verb functions of {dplyr} (select, filter, arrange, mutate, group by and summarise)
• Ìý Ìý Ìý Ìý Improve your R code workflow with the pipe operator.
• Ìý Ìý Ìý Ìý String manipulationsÌýusing {stringr}
• Ìý Ìý Ìý Ìý Learn about factors and how to manipulate them using the {forcats} package
• Ìý Ìý Ìý Ìý A brief intro to {tidyr} and the pivot_longer and pivot_wider functions.

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Day 2: {ggplot2} 18th October 2024

• Introduce the main components needed to create a graphical object using the ggplot function.
• Explain the aesthetic mapping approach and what are geometry layers such as geom_point, geom_line etc.
• How do we add colour, transparency, change the size and shape.
• Circle back to how tidyverse functions help us prepare our data for visualisations.
• Dependent on timeÌýa brief intro to the theme function and other areas of customisation of the plot such as the labels, title and caption.

* Ìýbonus item: demo of shiny and highlight its benefits.

• ÌýNicolas will provide extensive slides with explanations of the R code (instead of notes) along with the relevant R scriptÌý file.ÌýÌý
• All sessions will include analysis of ‘real’ datasets along with practical exercises.
• The sessions will NOT be recorded.

Fees

Course fees (live)

Below are the course fees for all courses delivered live either face-to-face, or through online video feed.

External Delegates (Non-ÂÒÂ×Ðã)	£350.00
ÂÒÂ×Ðã Staff and Students	£175.00 *
ÂÒÂ×Ðã Alumni	£175.00*
Staff and Doctoral Students from ICH/GOSH	£175.00*

* Valid ÂÒÂ×Ðã email address and/or ÂÒÂ×Ðã alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.

Cancellations:ÌýCancellation PolicyÌý

* A valid ÂÒÂ×Ðã email address and/or ÂÒÂ×Ðã alumni number required. Please note, this category does not include hospital staff unless you have a formal affiliation with the university. To get this discount, please emailÌýich.statscou@ucl.ac.ukÌýto confirm your eligibility and receive aÌýcode that can be entered at the checkout.

†ÌýIf you are a doctoral student from SLMS (School of Life and Medical Sciences), you can get access to this, and all other self-paced courses developed by CASC by filling inÌý.

Future Live Dates

Dates	Time	ÌýApply
11th and 18th of October 2024	9.30am - 4.30pm

^We recommend logging in 10 minutes prior to the scheduled start time to accessÌýmaterials andÌýensure the course can start promptly at 9.30am.

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