Statistical Programming for Data Science

Course aim

To provide students with comprehensive skills in Python and R programming for effective data analytics. Through hands-on instruction, students will learn to load data, perform data manipulations, conduct analysis using appropriate statistical testing methods, create data visualisations, and report findings in both Python and R environments.

Course content

The Python programming language - program control constructs, data structures, calling R from Python.

The R programming language - statistical analysis and visualisation of large data sets.

Textbook(s)

Nil

Prerequisite(s)

Subject Area & Catalogue Number	Course Name
Group 1 Students must have completed one of the following courses:
COMP 1039	Problem Solving and Programming
COMP 1043	UO Problem Solving and Programming
COMP 5076	Problem Solving in the Digital Age
CIVE 5015	Research Data Analysis

Students must have completed a minimum of 18 units in the program.

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Seminar (Face-to-face and/or virtual seminars, including small group work.)	2 hours x 13 weeks
Tutorial	2 hours x 12 weeks
INTERNAL, CITY WEST
Seminar (Face-to-face and/or virtual seminars, including small group work.)	2 hours x 13 weeks
Tutorial	2 hours x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
External (On-line materials, on-line interactions with these material, weekly on-line tutorials in a virtual machine environment, on-line interactions with the course coordinator and with other students, including through virtual seminars.)	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

Problem solving exercise, 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.