BUSINFO 707 - Digital Machine Learning

Course Overview

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Faculty

Business and Economics

Department

Graduate School of Management

Points:

15

Available Semesters:

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Course Components

Labs

Tutorials

Lectures

Exam

TBLs

Workshops

Description: Synthesises academic marketing research findings with previously taught knowledge about analytics, the digital channel, marketing planning and practice in order to attain marketing strategic goals. Enables students to critically and independently evaluate alternative analytics and machine learning techniques and apply these insights to formulating solutions to challenges involving, for example, web scraping, network analyses, google analytics and machine learning techniques such as text mining and cluster analysis.

Prerequisites / Restrictions

Prerequisite: BUSINFO 704

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