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Level 6 Diploma in Information Technology

Assignment workshop: research, planning and referencing

IT602 · Advanced Data Analytics — Week 13 of 16

CourseIT602
Week13 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Assignment workshop: research, planning and referencing

  1. Unpacking the assignment brief and criteria
  2. Finding and evaluating sources
  3. Planning and referencing
  4. Evaluating data sets using the CRAAP test
  5. 14. Harvard referencing: Graphs, tables and data

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

Start with this week’s 2 videos, then: Plan the unit assignment against every criterion; source and reference the evidence.

Study materials

Videos

  • Evaluating data sets using the CRAAP test · YouTube · Scott Lanning · 8 min · for registered students
  • 14. Harvard referencing: Graphs, tables and data · YouTube · Oxford Brookes University Library · 4 min · for registered students

Further resources

  • Principles of Data Science, 10.1: Writing an Informative Report · PDF · OpenStax, textbook chapter; pp. 462–468 · for registered students
  • Writing for Success, ch. 8.1–8.3: Prewriting, outlining and drafting · PDF · Saylor Academy, textbook chapter; pp. 281–318 · for registered students
  • Evaluating Information: Applying the CRAAP Test · PDF · Other, report · 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 12Week 14
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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.

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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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