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Level 6 Diploma in Information Technology

Model Output Visualisation and Visual Analytics

IT602 · Advanced Data Analytics — Week 10 of 16

CourseIT602
Week10 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Model Output Visualisation and Visual Analytics

  1. Comparative evaluation of charting paradigms
  2. Dashboard architectures using BI tools or web frameworks
  3. Communicating uncertainty and error margins
  4. Foundations of Data Visualisation - Computerphile
  5. SenseMaking (Data Visualisation) - Computerphile
  6. Lec 09: Data Visualization Power BI – 2
  7. Open Data Course: Visualization and Analysis Tools

What you will be able to do

  • 3.1 Critically evaluate methods to visualise the output from an applied analytical model.

Activity

Start with this week’s 4 videos, then: Seminar, guided reading and a short written task: critically evaluate methods to visualise the output from an applied analytical model.

Study materials

Videos

  • Foundations of Data Visualisation - Computerphile · YouTube · Computerphile · 11 min · for registered students
  • SenseMaking (Data Visualisation) - Computerphile · YouTube · Computerphile · 8 min · for registered students
  • Open Data Course: Visualization and Analysis Tools · YouTube · TU Delft · 9 min · for registered students
  • Explorations in Interactive Visual Analytics • Doug Talbott • GOTO 2014 · YouTube · GOTO Conferences · 46 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
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Week 9Week 11
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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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