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Level 6 Diploma in Information Technology

Final assessment and submission

IT602 · Advanced Data Analytics — Final

CourseIT602
Week16 of 16
SemesterI
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This week’s topics

Final assessment and submission

  1. Final coursework submission
  2. Assessment against all criteria

What you will be able to do

  • 1.1 Explain common terminology in 'data analytics'.
  • 1.2 Critically evaluate the use of data analytic methods.
  • 1.3 Summarise the importance of data analytics for businesses.
  • 2.1 Evaluate analytical model data preparation processes.
  • 2.2 Critically evaluate potential issues in the preparation of data for use in an applied analytical model.
  • 3.1 Critically evaluate methods to visualise the output from an applied analytical model.
  • 3.2 Apply an appropriate programming language or tool to demonstrate how descriptive analytic techniques contribute to decision-making.
  • 3.3 Apply an appropriate programming language or tool to demonstrate how predictive analytic techniques are used in forecasting future events.
  • 3.4 Apply an appropriate programming language or tool to demonstrate how prescriptive analytic techniques are used to find the best course of action in a situation.

Activity

Final assessment week: submission of the unit assignment.

Study materials

The teaching notes, exercises and videos of this week are in the student portal. Your portal is set up as soon as you receive final acceptance, so you can open them before the semester starts.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: Foundations of Data Analytics
  • Week 2: Evaluation of Analytical Frameworks
  • Week 3: Data Ingestion and Pipeline Architecture
  • Week 4: Data Preprocessing Pitfalls and Data Quality
  • Week 5: Applied Descriptive Analytics
  • Week 6: Predictive Analytics for Trend and Demand Forecasting
  • Week 7: Advanced Predictive Classification Models
  • Midterm: Midterm evaluation
  • Week 9: Prescriptive Analytics and Optimisation Modelling
  • Week 10: Model Output Visualisation and Visual Analytics
  • Week 11: Applied Model Synthesis, Governance, and Visual Interpretat…
  • Week 12: Applying Advanced Data Analytics in practice: case studies
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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