Introduction to Data Science and Analytics

Retrieval

1. Without notes, explain the decision supported by product analytics.
2. Without notes, explain the decision supported by ai fundamentals.
3. Without notes, explain the decision supported by data types.
4. Without notes, explain the decision supported by ml versus deep learning.
5. Without notes, explain the decision supported by decision-tree analysis.

Mini-case

Using a product from a different industry than this week’s worked examples, frame one consequential decision. Apply two ideas from the week, compare an alternative, and state what evidence would change your recommendation.

Portfolio check

Combine the five daily artefacts into one coherent an analytics decision brief. Remove contradictions and add a dated decision statement.

Rubric

• Problem and decision clarity — 25
• Evidence and assumptions — 25
• Method choice and alternatives — 25
• Recommendation and revision trigger — 25