Linear Algebra for Data Analysis
Deakin University · VIC · SIT292
Linear Algebra for Data Analysis is a subject at Deakin University, VIC in Faculty of Science, Engineering & Built Environment. It covers topics like data-analysis, data-science, linear-algebra. It is part of 16 degrees. The information below is compiled from public course material — approximate, not official.
Deakin University
SIT292
1.00
Faculty of Science, Engineering & Built Environment
Topics covered
Degrees that include Linear Algebra for Data Analysis
- Bachelor of Artificial Intelligence
- Bachelor of Artificial Intelligence
- Bachelor of Artificial Intelligence
- Bachelor of Artificial Intelligence
- Bachelor of Artificial Intelligence (Honours)
- Bachelor of Computer Science
- Bachelor of Computer Science
- Bachelor of Computer Science
- Bachelor of Computer Science (Honours)
- Bachelor of Computer Science (Honours)
- Bachelor of Data Science
- Bachelor of Data Science
- Bachelor of Data Science
- Bachelor of Data Science (Honours)
- Bachelor of Health and Physical Education
- Bachelor of Health and Physical Education
Frequently asked questions
What is Linear Algebra for Data Analysis about?
Linear Algebra for Data Analysis covers topics like data-analysis, data-science, linear-algebra.
Which degrees include Linear Algebra for Data Analysis?
Linear Algebra for Data Analysis is part of 16 degrees, including Bachelor of Artificial Intelligence, Bachelor of Artificial Intelligence, Bachelor of Artificial Intelligence, Bachelor of Artificial Intelligence, Bachelor of Artificial Intelligence (Honours).
How many credit points is Linear Algebra for Data Analysis?
Linear Algebra for Data Analysis at Deakin University is typically around 1.00 credit points. Approximate — confirm with the university.
Where is Linear Algebra for Data Analysis taught?
Linear Algebra for Data Analysis is taught at Deakin University, VIC.
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Sources: Deakin University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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