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Level 6 Diploma in Information Technology

Foundations of Data Analytics

IT602 · Advanced Data Analytics — Week 1 of 16

CourseIT602
Week1 of 16
SemesterI
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This week’s topics

Foundations of Data Analytics

  1. Core terminology and taxonomy
  2. Descriptive, predictive, prescriptive paradigms
  3. Strategic business value and competitive advantage
  4. APM Topic Explainer: Data Analytics
  5. Big Data Analytics - ACCA Strategic Business Leader (SBL)
  6. The 4 Types of Data Analytics — Explained with Real Data (Ice Cream Business)

What you will be able to do

  • 1.1 Explain common terminology in 'data analytics'.
  • 1.3 Summarise the importance of data analytics for businesses.

Activity

Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: explain common terminology in 'data analytics'.

Study materials

Videos

  • APM Topic Explainer: Data Analytics · YouTube · ACCA Student Study Resources · 31 min · for registered students
  • Big Data Analytics - ACCA Strategic Business Leader (SBL) · YouTube · OpenTuition · 19 min · for registered students
  • The 4 Types of Data Analytics — Explained with Real Data (Ice Cream Business) · YouTube · Steve Willis ACCA · 7 min · for registered students
  • Big Data Analytics • Paul Smith • GOTO 2017 · YouTube · GOTO Conferences · 22 min · for registered students

Further resources

  • Foundations of Information Systems, ch. 8: Data Analytics and Modeling · PDF · OpenStax, textbook chapter; pp. 297–338 · for registered students
  • Information Systems for Business and Beyond (2019), ch. 7: Does IT Matter? · PDF · Other, textbook chapter · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
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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