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Accredited course details

10953NAT - Advanced Diploma of Data Science


Display history

Summary

Status:
Current
Recognition manager:
Australian Skills Quality Authority (ASQA) (external link)
Currency period start:
24/May/2021 
Currency period end:
23/May/2026 
End reason:
 
Authority:
National Vocational Education and Training Regulator Act 2011 
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.
 
Delivery:
Find RTOs approved to deliver this course.

Currency period application renew history

Currency Period Start dateCurrency Period End dateApplication RenewOutcome of applicationDate of effect
24/May/202123/May/2026No 

Completion mapping

CodeSort Table listing Mappings History by the Code columnTitleSort Table listing Mappings History by the Title columnStatus/UsageStart dateSort Table listing Mappings History by the Start date columnEnd dateSort Table listing Mappings History by the End date column
BSBCRT611 - Apply critical thinking for complex problem solvingApply critical thinking for complex problem solving Current24/May/2021 
ICTSAD610 - Analyse stakeholder requirementsAnalyse stakeholder requirements Current24/May/2021 
ICTPRG554 - Manage data persistence using noSQL data storesManage data persistence using noSQL data stores Current24/May/2021 
NAT10953001 - Apply statistical models for variance testing on dataApply statistical models for variance testing on data Current24/May/2021 
NAT10953002 - Apply gradient boosting for classificationApply gradient boosting for classification Current24/May/2021 
NAT10953003 - Implement machine learning techniques for forecastingImplement machine learning techniques for forecasting Current24/May/2021 
NAT10953004 - Apply data streaming techniques to machine learning modelsApply data streaming techniques to machine learning models Current24/May/2021 
ICTPRG553 - Create and develop REST APIsCreate and develop REST APIs Current24/May/2021 
ICTPRG535 - Build advanced user interfacesBuild advanced user interfaces Current24/May/2021 
NAT10953005 - Deploy a machine learning model to automationDeploy a machine learning model to automation Current24/May/2021 
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Completion mapping history

CodeSort Table listing Mappings History by the Code columnTitleSort Table listing Mappings History by the Title columnStatus/UsageStart dateSort Table listing Mappings History by the Start date columnEnd dateSort Table listing Mappings History by the End date column
BSBCRT611 - Apply critical thinking for complex problem solvingApply critical thinking for complex problem solving Current24/May/2021 
ICTSAD610 - Analyse stakeholder requirementsAnalyse stakeholder requirements Current24/May/2021 
ICTPRG554 - Manage data persistence using noSQL data storesManage data persistence using noSQL data stores Current24/May/2021 
NAT10953001 - Apply statistical models for variance testing on dataApply statistical models for variance testing on data Current24/May/2021 
NAT10953002 - Apply gradient boosting for classificationApply gradient boosting for classification Current24/May/2021 
NAT10953003 - Implement machine learning techniques for forecastingImplement machine learning techniques for forecasting Current24/May/2021 
NAT10953004 - Apply data streaming techniques to machine learning modelsApply data streaming techniques to machine learning models Current24/May/2021 
ICTPRG553 - Create and develop REST APIsCreate and develop REST APIs Current24/May/2021 
ICTPRG535 - Build advanced user interfacesBuild advanced user interfaces Current24/May/2021 
NAT10953005 - Deploy a machine learning model to automationDeploy a machine learning model to automation Current24/May/2021 
Refresh information in 'Table listing Mappings History'
Navigate to first page in table listing Mappings History.Navigate to previous page in table listing Mappings History.
Navigate to page 1 in table listing Mappings HistoryNavigate to page 2 in table listing Mappings History
Navigate to the next page in table listing Mappings History.Navigate to the last page in table listing Mappings History.
Items per page 10 | 20 | 50 | 100
Displaying items 1 - 10 of 11

Classifications

SchemeCodeClassification value
ANZSCO Identifier 261311 Analyst Programmer 
ASCED Qualification/Course Field of Education Identifier 0201 Computer Science 
Qualification/Course Level of Education Identifier 411 Advanced Diploma 
Nationally Recognised Training Type 12 Course 

Classification history

SchemeCodeClassification valueStart dateEnd date
ANZSCO Identifier 261311 Analyst Programmer 24/May/2021 
ASCED Qualification/Course Field of Education Identifier 0201 Computer Science 24/May/2021 
Qualification/Course Level of Education Identifier 411 Advanced Diploma 24/May/2021 
Nationally Recognised Training Type 12 Course 24/May/2021 

Restrictions

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Restrictions history

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