Data Analytics using R

Course aim

Effective use of R for the analysis of large data sets.

Course content

The R language.

Preparing data for analysis using R.

Exploratory data analytics  of large data sets using R.

Multivariate statistical analysis.

Using R to present the results of data analytics.

 

Textbook(s)

Nil

Prerequisite(s)

Subject Area & Catalogue Number	Course Name
Group 1 Students must have completed:
MATH 1068	Statistical Methods
Group 2 In addition, students must have completed one of the following courses:
COMP 1043	UO Problem Solving and Programming
COMP 1039	Problem Solving and Programming

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Seminar	2 hours x 13 weeks
Computer Practical	1 hour x 12 weeks
INTERNAL, CITY WEST
Seminar	2 hours x 13 weeks
Computer Practical	1 hour x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
Online	N/A x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Project, Quantitative exercise

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.