R Course Coordinator: James Banks
Arrangements: The course will be held every Wednesday in Term 2 from Week 2 to Week 9
Sign ups: Registration open (VERY LIMITED): https://forms.gle/vmZZTqHN6F744PwC6
Aims: This course offers a comprehensive and in-depth overview of the main aspects of the R language. This series of seminars and lab lectures are intended to provide the student with research-related tools, and examples of topics in computational statistics. All in all, this course will provide students with a strong background in R programming which will be beneficial when:
(a) taking academic modules that use R to illustrate practical applications
(b) embarking on a data analysis career.
Objectives: At the end of this course, students should have a broad understanding of the R language, and the ability to write concise code that can be used across many areas of data analysis. Specifically, students ought to be familiar with:
(a) R data types and the best way to perform operation on them
(b) functional programming and its role in data analysis and processing
(c) basic algorithm design.
2020 Lectures (will be uploaded after session):
https://stats.idre.ucla.edu/r/seminars/intro/ Very useful course from UCLA
https://en.wikibooks.org/wiki/R_Programming (In particular the R Basics and Data management chapters)
https://www.coursera.org/learn/r-programming useful course from Coursera
Content from Matthew’s course (2018/19):
Content from Marco’s course (2016/17):