This unit introduces the basic foundations of business analytics and statistics. You will learn how to work with data alongside basic statistics and spreadsheet tools to solve simple business problems. The unit introduces the appropriate methods to visualise and summarise data, to quantify uncertainty that may arise from data analysis. You will also learn how to assess relationships between many data variables, and learn how to build basic regression models to capture such relationships in a business context.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
apply probability calculations and interpretations in a given business problem
build the simple and multiple regression model in Excel and communicate the results in relevant business contexts
classify the different data types and apply appropriate visualisation tools for effective data presentation
apply the concept of random sampling to interpret statistics calculated from business data and conduct hypothesis testing
analyse relationships between business data using appropriate tools
formulate and solve basic business modelling problems in Excel.
Company
About UsMetaverse ClassroomNews & BlogJR CareersBecome a MentorOur MentorsContact UsJR Store J3.ClubResources
Job ReferralsEvents1-on-1 TutoringIndustry WhitepapersOnline LearningInterview CenterShare Interview ExperienceInternshipMembershipImmigration Services
Australia ImmigrationSkilled Visa 189/190/491Employer Sponsored 482/186/494Business Visa 188/888UK ImmigrationUS ImmigrationCanada ImmigrationEnterprise
P3 Career IncubatorEnterprise (EN)Corporate TrainingInternship PartnershipRecruitment PartnershipApply for PartnershipTop Categories
Web Full-Stack BootcampDevOps BootcampData Engineering BootcampData Analysis BootcampCoding for BeginnersBusiness Analyst InternshipAlgorithm BootcampCareer Services
BA & PM InternshipData Science InternshipData Analysis InternshipMarketing InternshipResume ReviewInterview CoachingVIP Mentor GuidanceAddresses
Level 10b, 144 Edward Street, Brisbane CBD(Headquarter)Level 2, 171 La Trobe St, Melbourne VIC 3000四川省成都市武侯区桂溪街道天府大道中段500号D5东方希望天祥广场B座45A13号Business Hub, 155 Waymouth St, Adelaide SA 5000Disclaimer
JR Academy acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past and present. Aboriginal and Torres Strait Islander peoples should be aware that this website may contain images or names of people who have since passed away.
All content on the JR Academy website, including course materials, logos, and information provided, is protected under Australian intellectual property laws. Unauthorized use, sale, distribution, reproduction, or modification is strictly prohibited. Violations may result in legal action. By accessing our website, you agree to respect our intellectual property. JR Academy Pty Ltd reserves all rights, including patents, trademarks, and copyrights. Any infringement will be subject to legal prosecution. View Terms of Service
© 2017-2026 JR Academy Pty Ltd. All rights reserved.
ABN 26621887572
