DATA ANALYTICS CONCEPTS

BUS2DAC

2021

Credit points: 15

Subject outline

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as to performing a scenario analysis and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorBinh Tran

Available to Study Abroad/Exchange StudentsNo

Subject year levelYear Level 2 - UG

Available as ElectiveYes

Learning ActivitiesClassroom simulations, peer feedback activities, enquiry-based learning, classroom activities, experiential exercises and essays.

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesBUS1DIB

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Use SQL proficiently to retrieve data from a database.
02. Calculate common statistical functions in a spreadsheet/SQL on business data.
03. Solve forecasting problems through model building using a spreadsheet tool.
04. Explain data trends using appropriate data visualisations created from a spreadsheet tool.
05. Use a spreadsheet tool to solve complex business problems using data analytics.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorBinh Tran

Class requirements

WorkShopWeek: 31 - 43
One 2.00 h workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
In addition, students are expected to undertake between 1-3 hours of learning and assessment activities each week prior to class.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Data retrieval exercise using SQL 1,000-word equivalent individual written report.

N/AOtherIndividualNo30 SILO1, SILO2

Effective data visualisation using Excel and SQL 1,000-word equivalent individual written report.

N/AOtherIndividualNo30 SILO2, SILO3, SILO4

Create a data driven solution to a business problem 2,000-word equivalent individual written report.

N/AOtherIndividualNo40 SILO3, SILO4, SILO5