RMIT University
Business Analytics
- Delivery: Online
- Study Level: Intermediate
- Duration: 6 weeks
- Course Type: Short Course
- Total Price: $3,040
Learn to apply data-driven decisions to drive business value and develop practical, highly sought-after skills.
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Course overview
Master the fundamentals of business analytics by learning Excel and creating impactful stories through data visualisation using Tableau. Develop essential skills in SQL and Python to provide impactful analyses and forecasts for your team or organisation.
You will walk away with two projects. In each project, you will define a business problem and the need for analysis and apply a simple data analytics model to it.
- Master essential business analytics tools: Learn Excel, SQL, Python and Tableau to analyse data, build forecasts and create impactful visualisations for data-driven decision-making.
- Apply real-world business analytics: Gain hands-on experience with data modelling, market research and forecasting while working on two industry-aligned projects that solve real business problems.
- Industry-recognised flexible learning: Study 100% online, learn from experts at Accenture and Menulog and earn a credential that validates your skills in high-demand business analytics.
Learn with industry experts.
Accenture is a leading global professional services company that provides solutions in strategy, consulting, digital, and technology across more than 40 industries and all business functions. They deliver transformational outcomes for a demanding new digital world.
Menulog is Australia’s widest-reaching online food delivery service, offering the greatest choice of restaurants and cuisine types. Through menulog.com.au and mobile apps, Menulog connects more than 3 million active customers with over 13,600 local restaurants.
This course bundle includes:
- Business Analytics and Visualisation
- Business Analytics with SQL and Python
Key facts
3rd November, 2025
What you will study
Throughout the Business Analytics bundle, you will study:
- Intro to data analytics
- Business applications using data
- Market research
- Spreadsheets, metrics, modelling in Excel
- Data visualisation with Tableau
- Data project life cycle
- Collate, query and join data using SQL
- Introduction to Python for data analysis
- Pandas and NumPy
- Forecast data modelling
- Presenting data to support forecasting
What you will learn
Business Analytics and Visualisation
As part of this course, you will complete one (1) final project where you’ll develop a slide deck presentation using templates, guidelines and business styles which address the following:
- Define the business question and need for data analysis
- Collect data from sources
- Clean out unnecessary data
- Begin analysing the data
- Interpret results and apply them
- Anticipate ethical and legal considerations for the business
- Justify the approach taken to address the business question
Business Analytics SQL and Python
Upon completing this course, you'll be able to collect and analyse data with SQL, forecast business scenarios and communicate your findings with Python.
In your final project, you will set a business question, analyse and shape the data to create a data visualisation and create and present your findings in a slide deck presentation to your audience.
Industry Partnerships and Accreditations
