DATA ANALYTICS CONCEPTS
Credit points: 15
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
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.
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
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
Intended Learning Outcomes
Select to view your study options…
Melbourne (Bundoora), 2021, Semester 2, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorBinh Tran
WorkShopWeek: 31 - 43
One 2.00 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.
Data retrieval exercise using SQL 1,000-word equivalent individual written report.
Effective data visualisation using Excel and SQL 1,000-word equivalent individual written report.
|Other||Individual||No||30||SILO2, SILO3, SILO4|
Create a data driven solution to a business problem 2,000-word equivalent individual written report.
|Other||Individual||No||40||SILO3, SILO4, SILO5|