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FUTURE SKILLS SHORT COURSE

Business Analytics and Visualisation

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Learn the foundations of business analytics by familiarising yourself with Excel, and tell compelling stories through data visualisation with Tableau.

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Prerequisites
None
Time commitment
6 weeks (8-10 hours per week) 100% online
A$ 1200 incl GST

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Why study Business Analytics and Visualisation

Business analytics 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.   

With LinkedIn citing that data reasoning was the third most desired skill in 2019, now is the perfect time to upskill in business analytics. Through this course, you’ll develop the foundational and practical skills to make data-driven decisions and communicate these using Excel and Tableau. 

What you'll learn

This course will cover the following topics: 

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

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 

 

This course can be taken as standalone but has been designed to be taken as part of a two-course Business Analytics bundle (with a saving of $400 across both courses). For a more comprehensive understanding of business analytics, we recommend that you also complete Business Analytics with SQL and Python.  

Find out more in our FAQ section.

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Course Structure

Module 1

Introduction to data analytics

Understand what data analytics is, the tools available, and how data analysts add business value 

Investigate different data types and sources and determine the relevant data to answer business questions 

Explore basic Excel functions for data analytics 

Module 2

Using data in Excel

Comprehend comma-separated values (CSVs) and how to import them into Excel 

Understand the importance of and steps required to clean and wrangle data 

Learn how to import and link Excel sheets 

Module 3

Data visualisation

Identify the benefits of data storytelling  

Create pivot tables and charts in Excel 

Learn how to navigate Tableau and import Excel data 

Module 4

Data modelling in Tableau

Understand data modelling and be introduced to Tableau Prep and Desktop 

Explore ways to clean and shape data 

Build a dashboard to tell a story using data 

Module 5

Your data analytics project

Analyse your own data set using functions in Excel and filters in Tableau 

Clean and shape data in Tableau 

Build a storyboard to communicate your results 

Prepare for your final project 

Module 6

Final Project

Develop a slide deck presentation using templates, guidelines and business styles which address the following:  

  • Define the business question and need for data analysis 

  • Begin collecting 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 the business approach taken to address your business question 

Learn with Industry Experts

Get ready to meet some of the biggest names in the business

Lachlan Russell Expert industry mentor

Our industry mentors are available to provide 1:1 feedback and guidance on your course work. Our mentors on this course include people like Lachlan Russell. Lachlan is an analytics professional at UberEats Marketplace. His work includes producing insightful enterprise-level solutions in industry to field service management, operational supply and demand, customer analytics and machine learning classification problems. Lachlan is a mathematics graduate and past consultant at KPMG working across the finance, telecommunications, utilities, defence and intelligence industries. 

Ansari Imamudheen Subject matter expert

RMIT Online has built our courses in partnership with industry, providing you with the latest industry insights and best practices from the real world of work. Our subject matter experts on this course include people like Ansari Imamudheen. Ansari is the Data and Product Analytics Manager at BetEasy. With over 7 years’ experience in interpreting and analysing data for driving business solutions, Ansari also has graduate and postgraduate qualifications in Business Analytics and Engineering and is certified in Tableau and trained in Agile Scrum.  
 

Learner success teamRMIT Online

Our learner success team are here to help you with 1:1 coaching, tips on how to successfully study online, and any questions or concerns you may have. 

Why choose RMIT Online

Get a world-class education and transform your career.

Real world skills

Develop skills that have been validated by industry, while getting credentialed by a world-leading university.

Industry connected

You'll gain knowledge and practical skills from renowned industry partners who are at the forefront of their field.

Flexible delivery

Advance your career while you study. RMIT Online courses let you balance work, study and life commitments.

Supported community

Be guided by a network of industry experts and peers, and supported by our dedicated success team.

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