Statistics bootcamp using R

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This 4-days bootcamp provides an in depth look at statistical analyses using R.

Day 1 aims to introduce R as a tool for statistics and graphics, with the main aim being to become comfortable with the R environment. As well as introducing core R language concepts, this course also provides the basics of using the Tidyverse for data maniupulation, and ggplot for plotting. It will focus on entering and manipulating data in R and producing simple graphs.

Day 2-4 will focus on the statistical possibilities of R, covering from experimental design to analysis of quantitative and qualitative data. Ample time will be given to participants to practice different type of analysis and interact with the trainers to discuss their statistical problems.

This event is organized in collaboration with the Babraham Institutes's Bioinformatics Group and it is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1).

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
• Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
• Further details regarding eligibility criteria are available here

Number of sessions: 4

Bioinformatics, Data handling, Statistical calculation

After this course you should be able to:

• Discuss basic principles of experimental design and power analysis
• Know how to explore your data prior to the analyses
• Discuss basic statistical principles
• Choose the appropriate statistics approach for your data
• Use R to apply classical statistical techniques on quantitative and qualitative data

During this course you will learn about:

Day 1

• The R and R Studio environments
• Variables, Functions and R Data Structures
• Using Tydiverse, a collection of R packages designed for data science
• Importing data files, entering and manipulating data
• Creating graphs (scatterplots, line graphs, line graphs, histograms and density plots)

Day 2-4

• Experimental Design
• Sample size estimation: power analysis
• Descriptive statistics and data exploration
• Analysis of quantitative data
• Linear modelling
• Analysis of qualitative data

Presentations, demonstrations, and practicals

• Free for registered University of Cambridge students
• £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
• It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
• £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
• £ 100/day for all Industry participants. These charges must be paid at registration
• Further details regarding the charging policy are available here

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