Statistical Programming for Data Science
Postgraduate
Postgraduate
COMP 5070
Postgraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
154320
4.5
No
School of Information Technology and Mathematical Sciences
To develop practical knowledge and skill in programming in Python and R, and applying these skills to analysis of large data sets.
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.
Nil
Nil
Nil
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.
Assignment, Continuous assessment, Report
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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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
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* 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.