DATA ANALYTICS CONCEPTS

BUS2DAC

2019

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 StudentsNo

Subject year levelYear Level 2 - UG

Exchange StudentsNo

Subject particulars

Subject rules

Prerequisites BUS1DIB

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Use SQL proficiently to retrieve data from a database.

Activities:
Classroom simulations, peer feedback activities, enquiry based learning class room activities.
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

02. Calculate common statistical functions in a spreadsheet/SQL on business data.

Activities:
Enquiry based learning class room activities, simulations.
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Adaptability Skills)

03. Solve forecasting problems through model building using a spreadsheet tool.

Activities:
Enquiry based learning class room activities, simulations, experiential exercises.
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Adaptability Skills)

04. Explain data trends using appropriate data visualisations created from a spreadsheet tool.

Activities:
Enquiry based learning class room activities, simulations, individual essay.
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

05. Use a spreadsheet tool to solve complex business problems using data analytics.

Activities:
Enquiry based learning class room activities, simulations, experiential exercises.
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Adaptability Skills)

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2019, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBinh Tran

Class requirements

WorkShop Week: 31 - 43
One 2.0 hours 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 elementComments% ILO*
Data retrieval exercise using SQL1,000-word equivalent individual written report.30 01, 02
Effective data visualisation using Excel and SQL1,000-word equivalent individual written report.30 02, 03, 04
Create a data driven solution to a business problem2,000-word equivalent individual written report.40 03, 04, 05