Statistical Programming for Data Science

Course aim

To develop practical knowledge and skill in programming in Python and R, and applying these skills to analysis of large data sets.

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
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	2 hours x 12 weeks
INTERNAL, CITY WEST
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	2 hours x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
External (On-line materials, on-line interactions with these material, weekly on-line computer practicals in a virtual machine environment, online interactions with the course coordinator and with other students, including through virtual workshops. )	N/A x N/A

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

Assessment

Assignment, Continuous assessment, Take-home Examination

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.