Data Analytics for Insurance
Issued by
Deakin University
Data Analytics for Insurance, Deakin University’s microcredential, enabled earners to analyse challenges in the insurance sector by applying data tools and techniques to clean, prepare and analyse data to identify actionable insights that inform decision-making. Using hypothetical insurance datasets and case studies, earners explored and explained patterns and trends, addressed data ethics and made data-driven recommendations to improve organisation performance.
- Type Validation
- Level Advanced
- Time Hours
- Cost Paid
Skills
Earning Criteria
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This earner’s identification was verified using an automated online ID verification. During the course the earner was an enrolled Deakin University student with the rights, responsibilities, access to resources and scrutiny of academic integrity required by this educational institution.
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The earner passed a formal assessment submitting a written report and an interactive Tableau dashboard to communicate actionable data-driven recommendations and insights based on data analysis.
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Successfully completed this online course with learning activities and formal assessment typically requiring 50-75 hours.
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LEARNING OUTCOMES:
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Apply fundamental data analytics techniques for exploratory and explanatory data analytics using spreadsheet and database tools.
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Perform exploratory and explanatory data analysis by preparing data, interpreting findings, and deriving insights to support data-driven decision-making.
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Create actionable data-driven insights through visualisation and storytelling.
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Evaluate organisational context and objectives, ethical and social considerations when applying data analysis.
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This microcredential provides the earner with bankable credit (0.5 credit points) towards one or more specified post graduate degrees (award course) at Deakin University. The credit is redeemed on successful application to study the degree.
Standards
This microcredential aligns with AQF9 (Masters level) standard.
ECTS 3.75 credits