UO R for Data Analytics

Undergraduate | 2026

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Area/Catalogue
MATH 2018
Course ID icon
Course ID
204161
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

The aim of this course is to introduce students to the R language and its use for data analysis. The aim of this course is topics covered in this course include: an introduction to descriptive statistics, data description and graphical representation, data manipulation and cleaning, summary measures (centre, spread, skewness, kurtosis, correlation), and exploratory data analysis (EDA) with applications.

Course learning outcomes

  • Demonstrate proficiency in the use of core features of the R language.
  • Use available tools to extract, transform and load data needed for exploratory data analysis.
  • Perform exploratory data analysis using R.
  • Effectively use R to present results of exploratory data analysis.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A