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  • Data-science (For International Student) (Course Code: 10953NAT)
Advanced Diploma of Data Science
Course Code: 10953NAT CRICOS Code: 117542J Department: Data-science

Advanced Diploma of Data Science

Description

The qualification produces data scientists or data engineers with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques and automate the results to enhance business intelligence.

An individual in this role can analyse or develop or automate software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics and deployment in data related problem solving and generate useful insights. Specialist functions and Skills Additionally, graduates of the course will be able to perform the following functions and specialist tasks: Develop and apply knowledge in a broad range of methods based on statistics and computing and use these for problem solving and business intelligence. Identify and use approaches to automate the results from predictive modelling for generating useful insights for data related problems. Use appropriate methods, tools and techniques for generating valuable insights for business optimisation.

Location (Theory& Practical)
  • VIC - Langford street Campus - 72-92 Langford St - Arrangement with Non Registered Provider
(Subject to change at the time of enrolment)
Duration
  • 52 weeks
Tuition Weeks
  • 52 weeks
Delivery and Assessment mode
  • Face-to-face, combination of theory, practical and/or project assessments.
Work based training/Work placement
  • NILL
Possible pathways for further students
  • NILL
Possible occupational outcomes
  • NILL
Fees & Charges
  • Please find the Price list here
Prerequisite
  • NILL
Units of Competency
  1. Unit CodeUnit Name

Core

  1. BSBCRT611Apply critical thinking for complex problem solving
  2. ICTPRG535Build advanced user interfaces
  3. ICTPRG551Apply testing techniques for software development
  4. ICTPRG553Create and develop REST APIs
  5. ICTPRG554Manage data persistence using noSQL data stores
  6. ICTSAD610Analyse stakeholder requirements
  7. NAT10953001Apply statistical models for variance testing on data
  8. NAT10953002Apply gradient boosting for classification
  9. NAT10953003Implement machine learning techniques for forecasting
  10. NAT10953004Apply data streaming techniques to machine learning models Current
  11. NAT10953005Deploy a machine learning model to automation Current
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