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Data Analysis for Business unit (BEA140)

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Unit year 2027

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Introduction

BEA140 Data Analysis for Business is a foundation unit in business statistics and the mathematics of finance, and is a core unit in the Bachelor of Economics (BEc) and Bachelor of Business (BBus) degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.

This unit is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The unit also includes an introduction to the basic use of tools such as Excel as an aid to analysis and presentation. The focus of the unit is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.

The unit is an introduction to the exciting world of applying mathematics and statistics to business problems. By studying a variety of examples based on real world problems, the unit highlights the application of quantitative methodologies to assist managers, and decision makers, in dimensioning and communicating risks and opportunities.

Summary

Unit name Data Analysis for Business
Unit code BEA140
Credit points 12.5
College/School Tasmanian School of Business and Economics
Discipline Economics|Mathematics
Coordinator Associate Professor Mala Raghavan
Available as an elective? Yes
Delivered By University of Tasmania and Third Party(ies): ECA|Shanghai Ocean University AEIN Institute|Universal College of Higher Education Hong Kong
Level Introductory

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

  • Apply basic statistical concepts to common situations in business and economics.
  • Inform and communicate evidence-based decisions using data description and probability concepts
  • Draw conclusions and communicate properties about sample populations
  • Quantify an association between two variables, explain variation and improve outcome prediction.

Fee Information

2027 fee information will be available in August.

Requisites

Mutual Exclusions

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

XPD105

Teaching

Teaching Pattern

There are 2-hour on campus and 1 hour online workshop weekly, commencing from week 1.

AssessmentOnline Skill Checks (20%)|Assignment (40%)|Examination (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

There are no prescribed texts for this unit. Lecture notes and other reading materials are available via MyLO. Additional material, including videos, will also be available on MyLO.
Recommended

You may find it useful to consult alternative references as part of your study program. You may wish to take advantage of one of these as an additional source of worked examples, and for an alternate presentation of the material:

  • Illowsky, B., & Dean, S. (2013). Introductory Statistics 2e. OpenStax.. The pdf version can be found here: https://commons.erau.edu/cgi/viewcontent.cgi?article=1005&context=oer-textbook
  • Wasserman, Larry. All of statistics: a concise course in statistical inference. Vol. 26. New York: Springer, 2004. The ebook can be downloaded here: http://61.2.46.60:8088/jspui/bitstream/123456789/287/1/A%20Concise%20Course%20in%20Statistical%20Inference%20%28Springer%20Texts%20in%20Statistics%29.pdf
  • Bruce, Peter, Andrew Bruce, and Peter Gedeck. Practical statistics for data scientists: 50+ essential concepts using R and Python. O'Reilly Media, 2020. The pdf version can be downloaded here: https://vistacompany.ir/wp-content/uploads/2025/04/Practical-Statistics-for-Data-Scientist.pdf

 

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