This course is an introduction to using the R software and language, suitable for those who have never encountered R before. No previous statistical knowledge is assumed but participants should be familiar with Microsoft Windows and Excel.
Content
R is a statistical software package and statistical programming language, which provides a huge variety of tools for statistical analysis. It is the most widely used free statistical software in academia, and the most sought after statistical programming skill in industry.
This course is an introduction to using the R software and language, suitable for those who have never encountered R before. No previous statistical knowledge is assumed but participants should be familiar with Microsoft Windows and Excel.
Topics include running calculations, handling data, organising instructions, calculation of summary statistics and producing graphics. Teaching is through guided computer practicals.
The main learning objective is a familiarity with R that will give course participants a platform from which to explore the wide range of functions provided by R.
Assessment
This is a non-credit bearing course and no assessment will be undertaken.
You will receive a Certificate of Attendance on completion of the course.
At UWE Bristol, we’re focused on solving future global challenges through outstanding learning, world-leading research and a culture of enterprise.
Here, we empower our students to make a choice. To choose a university that pushes itself as much as it pushes them. To choose a community of original thinkers - breaking new boundaries and leading the way.
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Each of our pioneering courses have been created in partnership with industry professionals. And over 150 come with professional accreditation from industry bodies.
Coupled with world-class teaching, they’re designed to equip students with the most in-demand skills, and the kind of mindset that employers want and need. So that when you graduate from UWE Bristol, you’re ready to take on the world.
Our R trainer has many years of experience and has written a number of books on R. This course is very hands-on. This means that there is plenty of time to experiment with what you are being taught, try things out for yourself and ask questions.
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge.
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics.
Data analysis is crucial to accurately predict the performance of an application. The course begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins.
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