Advanced R Skills

Student using laptop in library
  • Level(s) of study: Short course
  • Study mode(s): Full-time
  • Location: Clifton Campus
  • Starting: September 2018
  • Course duration: Two days.

This workshop is perfect for those who wish to customise R's core analytical capabilities for their own purposes and for those wishing to visualise sequencing or related kinds of data.

Why choose this course?

By taking this course you will learn how to perform advanced statistical analysis and how to visualise and summarise prodigious quantities of data generated by Next-Generation Sequencing (NGS) platforms. You are expected to know the basics of R and be familiar with statistical concepts. An awareness of typical data formats associated with NGS projects would also be helpful.

If you wish, you may choose to attend either of the single-day workshops that make up the advanced skills two-day course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

Access to computers is provided throughout the course, but you may also wish to bring your own laptop so that you can use the software in a familiar context.

Who will teach me?

The course is led by Dr Golnaz Shahtahmassebi, a lecturer in statistics and an applied statistician. She uses R extensively in her research in statistical and computational methods related to life sciences including medicine, sport and physics.

Dr Ben Dickins lectures in the School of Science and Technology with teaching responsibilities in molecular biology, biochemistry and evolution and also uses R extensively in his research.

Get in touch

If you have any questions about this course, please email us or telephone +44(0)115 848 3294.

What you'll study

Day one: Advanced R skills

Having mastered the basics, you will start to develop skills in customising R's core analytical capabilities for your own purposes. Topics include: looping, conditional expressions and writing your own functions. You will learn how to perform advanced statistical analyses such as logistic regression, survival analysis and Bayesian analyses in R using packages such as MCMCpack and coda.

Day one topics

  • Looping, conditional expressions
  • Write your own functions
  • Advanced statistical analysis, including logistic regression, survival analysis and Bayesian analysis.

Day two: Visualising Genomics Data with R

This workshop will suit those wishing to visualise sequencing or related kinds of data. An awareness of typical data formats associated with Next Generation Sequencing (NGS) projects is desirable. By the end of day two you will be able to integrate R into your NGS workflow. During this session we will also introduce you to some helpful packages for handling sequence data and also provide a gentle introduction to the bioconductor repository.

Day two topics

  • Visualise and summarise data generated by Next Generation Sequencing (NGS) projects
  • Sequence data handling
  • An introduction to bioconductor repository.

If you wish, you may choose to attend either of the single-day workshops that make up this advanced skills two-day course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

Careers and employability

There is currently no careers information available for this course.

This course does not currently offer placements.

Entry requirements

There are no formal entry requirements for this course. You are expected to know the basics of R and be familiar with statistical concepts. An awareness of typical data formats associated with NGS projects would also be helpful.

If you prefer, you can choose to attend either of the single-day workshops that make up the two-day advanced skills course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

How to apply

Applications for this course will be opening soon. To register your interest, please email us.


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Fees and funding

For information on course costs, please visit the NTU online store

Still need help?

+44 (0)115 941 8418