Data Fundamentals for Business Decisions
UndergraduateLTU-BUS10032026
Course information for 2026 intake
Enrol today with instant approval and no entry requirements
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Enrol by
- 5 July 2026
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 12 weeks
- Start dates
- 13 July 2026
- Price from
- $592
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Data Fundamentals for Business Decisions
About this subject
On successful completion you will be able to:
- Use appropriate software and statistical techniques to present business data to inform decision-marking.
- Apply statistical analysis and hypothesis testing techniques to economic, financial and business data to draw conclusions.
- Apply Excel proficiency using fundamental statistical methods to evaluate business problems.
- Introduction to Excel for Data Management
- Data Manipulation & Pivot Tables
- Advanced Visualisation & Dashboards
- Trend Analysis & Regression
- Business Problem Identification & Data Cleaning
- Advanced Analysis Tools
- Solution Development & Presentation
- Sampling & Probability Distributions
- Confidence Intervals & One Sample Hypothesis Tests
- Two Sample Tests, Chi square & Regression
- Statistical Reporting & Strategic Insights
- Review
This subject equips you with the skills to transform raw data into actionable insights that drive informed business decisions. You will learn key Excel functionalities crucial for data manipulation, analysis, and visualisation. The statistical component covers key concepts such as descriptive statistics (mean, median, mode, variance, standard deviation), probability distributions, hypothesis testing, and regression analysis. Emphasis is placed on interpreting statistical outputs and applying findings to real-world business scenarios. You will gain skills in designing dashboards that summarise complex data sets for managerial review and strategic planning. Overall, you will be equipped with the foundational knowledge and skills to harness data as a strategic asset in driving business success.
- Foundations of Excel and Data Visualisation (400 word equiv) (10%)
- Effective data exploration, trend analysis and visualisation using Excel (600 word equiv) (15%)
- Create a data-driven solution to a business problem (1000 word equiv) (25%)
- Exam: Apply common statistical functions and hypothesis testing techniques to business data (2000 word equiv) (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
UndergraduateLAT-BUS-DEG
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