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NOTE:ÌýThis course will be delivered in OnlineÌýmode, i.e. the in-person lecture will be transmitted live on zoom. The online 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.

Additionally, we now offer this as aÌýself-paced, online courseÌýthat you can register for and start at any time. Click below under the 'Online/Self-Paced Materials' tabÌýto registerÌýand gain access.

Details

This course is aimed at researchers who want to learn how to use the statistical software R to conduct statistical analysis. Delegates will be expected to have a basic understanding of common statistical tests and concepts as these will not be taught during this workshop (taught on our course - Introduction to Statistics and Research Methods). The topics covered using R will include:

• Introduction to the R platform and interface Introduction to basic scripting commands
• Input of data sets
• Summary measures
• Graphical displays
• Statistical tests (t-test)
• Add-ons and packages in R
• Help in R

Everyone wishing to attend should ensure R and Rstudio is installed on their computer (installation guidelines will be made available two weeks before the course).

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)	£200.00
ÂÒÂ×Ðã Staff, Students, Alumni (incl. ICH/GOSH)	£100.00 *

* 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 Policy

Course fees (self-paced, online)

Below are the fees for access to the online, self-paced version of this course.

External Delegates (Non ÂÒÂ×Ðã)	£100.00
ÂÒÂ×Ðã Staff, Students, Alumni *	£50.00 *
StaffÌýfrom ICH/GOSH and doctoral students from SLMS *	FREE â€

* 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.ÌýTo get a 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 Dates (day)

Dates	Times	Apply
TBC	09.30-17.00 Ìý

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

Future Dates (evening)

Dates	Times	Apply
TBC	5.00pm - 8:15pm

^We recommend logging in 10 minutes prior to the scheduled start time to accessÌýmaterials andÌýensure the course can start promptly at 5.00pm.

Online/self-paced materials

An online, self-paced version of this course is available that includes the following materials:

• Full electronic notes
• Short lecture videos (recorded outside of the classroom) that follow closely with the notes
• Interactive multiple choice quizzes
• An intergrated real data set for demonstration purposes and for practice

Support:ÌýThe course includes unlimited support through a forum that will be manned by one of our teaching fellows. We aim to provide responses to all questions on Tuesday and Friday each working week. Note that questions can only relate directly to the course materials and should not be used as a consultancy service for your own projects.

Personalised certificates will be generated on completion.

ÂÒÂ×Ðã extend:ÌýThe link below leads to the ÂÒÂ×Ðã extend store where this self-paced course isÌýavailable for purchase. If you are eligible for a discount, then please emailÌýich.statscou@ucl.ac.ukÌýto receive a voucher code that can be used on checkout. ÂÒÂ×Ðã delegates should use their university email address to register, and external delegates can use any other account.Ìý

Alternatively, if you are aÌýdoctoral student from SLMSÌý(School of Life and Medical Sciences), you can get access to this, and all other self-paced courses developed by CASC by filling inÌý.

Feedback

"Fantastic course, thank you!"

"Very informative and useful, was pitched correctly for my level of knowledge. Tutors were very helpful and knowledgeable. Overall a good experience"

"Overall, the course was excellent."

"This is one of the best organised and executed courses I have ever attended"

"Very well organised and presented. Thank you"