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Level 6 Diploma in Information Technology

Applying Advanced Data Analytics in practice: case studies

IT602 · Advanced Data Analytics — Week 12 of 16

CourseIT602
Week12 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Applying Advanced Data Analytics in practice: case studies

  1. Case analysis
  2. Linking theory to practice
  3. Evaluating evidence
  4. Case Studies: Network Analytics
  5. Case Studies: Predicting Employee Performance
  6. Social Network Analysis (Course Sample) – Multi-stakeholder Strategies Online Course

What you will be able to do

  • 1.2 Critically evaluate the use of data analytic methods.
  • 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.

Activity

Start with this week’s 3 videos, then: Case-study workshop: apply the unit’s concepts to a real or realistic case and evaluate the outcome.

Study materials

Videos

  • Case Studies: Network Analytics · YouTube · Wharton People Analytics Conference · 46 min · for registered students
  • Case Studies: Predicting Employee Performance · YouTube · Wharton People Analytics Conference · 42 min · for registered students
  • Social Network Analysis (Course Sample) – Multi-stakeholder Strategies Online Course · YouTube · TU Delft · 5 min · for registered students
  • The Human Resource Management challenge of predicting employee turnover using machine learning · YouTube · The Open University Business School · 26 min · for registered students

Further resources

  • MIT 15.071 The Analytics Edge (Spring 2017) · Reading · MIT OpenCourseWare, course · for registered students
  • Foundations of Information Systems, ch. 8: Data Analytics and Modeling · PDF · OpenStax, textbook chapter; pp. 297–338 · for registered students
  • Five Misunderstandings About Case-Study Research · Reading · Arxiv, article · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Week 11Week 13
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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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