Business Analytics and Visualisation

Business analytics and visualisation utilises data to draw insights, helping inform a business’ decisions with improved accuracy and efficiency. In today’s era of customer-centricity, it’s vital that organisations use data to drive unique and valuable products and experiences for their customers and set themselves apart from the competition.   

In 2023, LinkedIn cited Data Analysis and Analytical Skills among the top 10 most in-demand skills by companies. Throughout this course, you'll develop the foundational practical skills to make data driven decisions and communicate these using Excel and Tableau. 

Our Business Analytics and Visualisation course is ideal for:

• Mid-level professionals looking to develop a strong skillset in business analytics and improve their employability  
• Professionals looking to change careers, gaining practical skills and kickstart a career in data and analytics  

This course will cover the following topics: 

• Intro to data analytics 
• Business applications 
• Market research 
• Spreadsheets, metrics, modelling in Excel 
• Data visualisation with Tableau 

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 through unnecessary data  
• Begin analysing the data  
• Interpret results and apply them  
• Anticipate ethical and legal considerations for the business  
• Justify of the approach taken to address the business question 

At RMIT Online, we're committed to supporting your lifelong learning journey. Our flexible learning pathways can be tailored to align with your individual educational goals. When taken in combination with other specific Future Skills short courses, this course is eligible for credit into certain RMIT degree programs, subject to entry requirements. Click here for more information.  

This course can be taken as standalone but has been designed to be taken as part of a two-course Business Analytics bundle (save 10% when you do both courses). For a more comprehensive understanding of business analytics, we recommend that you also complete Business Analytics with SQL and Python.