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)

Nil

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:
How to determine your Commonwealth Supported course fee. (Opens new window)

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:
How to determine the relevant non award tuition fee. (Opens new window)

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.