Data Analytics for Supply Chain Logistics
  • Type Validation
  • Level Advanced
  • Time Hours
  • Cost Paid
Additional Details

Data Analytics for Supply Chain Logistics

Issued by Deakin University

Data Analytics for Supply Chain Logistics, Deakin University’s microcredential, enabled eearners to analyse supply chain challenges within an organisational context by using data tools and techniques to clean, prepare and analyse data to identify actionable insights to inform decision-making. Using hypothetical supply chain 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
Additional Details

Skills

  • Analyse business context
  • Apply data ethics
  • Create actionable insights
  • Data Analysis
  • Data-Driven Decision-Making
  • Decision Making
  • Interrogate Data
  • Prepare Data
  • Understand data types
  • Use analysis tools
  • Use visualisation tools
  • Visualise Data

Earning Criteria

  • 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.
  • 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.
  • Successfully completed this online course with learning activities and formal assessment typically requiring 50-75 hours.
  • LEARNING OUTCOMES:
  • Apply fundamental data analytics techniques for exploratory and explanatory data analytics using spreadsheet and database tools.
  • Perform exploratory and explanatory data analysis by preparing data, interpreting findings, and deriving insights to support data-driven decision-making.
  • Create actionable data-driven insights through visualisation and storytelling.
  • Evaluate organisational context and objectives, ethical and social considerations when applying data analysis.
  • 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

Australian Qualifications Framework
This microcredential aligns with AQF9 (Masters level) standard.
European Credit Transfer and Accumulation System (ECTS)
ECTS 3.75 credits