CourseIT602

Week8 of 16

SemesterI

TutorOnline in the course chat

This week’s topics

Midterm evaluation

Midterm assessment of the criteria taught so far
Individual feedback and targets

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.

Activity

Midterm assessment task and individual feedback.

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.

Week 7 Week 9

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

Back to the course