Overview

An introductory paper for the Master of Business Analytics. Develops a managerial perspective on the use of small and big data in problem identification, analysis and decision-making, and introduces the basic statistics and machine learning techniques used across the rest of the programme.

Topics covered

• Business problem framing and analytics strategy
• Foundations of descriptive and inferential statistics
• Introduction to commonly applied machine learning techniques
• Organisational complexity and data-driven decision making

Key assignments

• [Assignment 1, fill in with what you actually built]
• [Assignment 2, tool used, outcome, your contribution]

Takeaways

[What stuck with you. What you'd apply elsewhere. Fill in once you've wrapped the paper.]