Foundations of Data Analysis with R

NOTE: This 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.

Additionally, we now offer this as a self-paced, online course that you can register for and start at any time. Click below under the ‘Online/Self-Paced Materials’ tab to register and 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.

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

Cancellations: Cancellation Policy

Course fees (self-paced, online)

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

* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university. To get a discount, please email ich.statscou@ucl.ac.uk to confirm your eligibility and receive a code that can be entered at the checkout.

† If you are a doctoral student from UCL, you can get access to this, and all other self-paced courses developed by CASC by filling in this online form.

Future Dates (day)

^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly.

Future Dates (evening)

^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure 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: The 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.

UCL extend: The link below leads to the UCL extend store where this self-paced course is available for purchase. If you are eligible for a discount, then please email ich.statscou@ucl.ac.uk to receive a voucher code that can be used on checkout. UCL delegates should use their university email address to register, and external delegates can use any other account. 

Click to register (online, self-paced)

Alternatively, if you are a doctoral student from UCL, you can get access to this, and all other self-paced courses developed by CASC by filling in this online form.

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”

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Bespoke courses

If you are part of a team/organisation that would like statistics training, we can arrange extra dates for our existing courses or prepare something more bespoke.

Enquire about Bespoke Courses

Come to 6 day-courses, get a 7th free! 

Once you have attended 6 short-courses, you’re ready to claim your 7th day-course for free (please email us to make this arrangement). Our longer introduction course counts as three towards this total.

Contact

Please see our FAQ page before making an enquiry.

Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk

Phone:
For general queries/payments:
+44 (0) 20 7905 2768

Address:
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH

Other useful links 

• GOS ICH Statistical Support Service
• On-demand UCL Extend self-paced courses
• Royal Statistical Society
• Instats

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