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Hobart

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Introduction

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Summary %globals_context%

Unit name Marketing Insights into Big Data
Unit code BMA708
Credit points 12.5
Faculty/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Marketing
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Availability

Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates

Learning Outcomes

LO1Critically examine different methods of data analysis and presentation for social networks, complex systems and relational links.
LO2Apply intermediate skills in spreadsheets and data visualisation software to identify trends and relationships among factors inindustry and society.
LO3Analyse government, industry and social media data to identify relationships and trends.
LO4Critically evaluate conclusions drawn from different data and analytic tools.
LO5Create interactive models using appropriate software and effectively communicate results and findings to aid decision-makers in understanding interrelationships and trends.

Fees

Requisites

Prerequisites

N/A

Co-requisites

N/A

Mutual Exclusions

You cannot enrol in this unit as well as the following:

N/A

Teaching

Teaching Pattern

Please see the unit outline for details.

Assessment

Spreadsheet Analysis (35%), Data Visualisation (35%), Complex Systems (30%).

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Please see the unit outline for details.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.