DATAX504
Practical Machine Learning for Data Analysis
15
500
B Trimester
Hamilton
Practical Machine Learning in Data Analysis" is a graduate-level course focused on applying machine learning methods to real-world data analysis tasks. Students will learn to preprocess data, build models, evaluate their performance, and deploy them for practical applications across diverse domains such as healthcare and finance. Emphasis is placed on practical implementation, critical evaluation, and the use of programming tools like Python or R.
Teaching Periods and Locations
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27B (HAM)
Hamilton, In-person27B (HAM)B Trimester :12 Jul 2027 - 07 Nov 2027HamiltonPaper outline100% internal assessment
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27B (HAM) Paper outline |
B Trimester : 12 Jul 2027 - 07 Nov 2027 |
Hamilton |
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100% internal assessment |
If your paper outline is not linked below, try the previous year's version of this paper.
Indicative Fees
You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
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You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
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You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
Additional information
- Paper details current as of 23 Jun 2026 02:53am
- Indicative fees current as of 12 Aug 2026 01:20am