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  1. Home
  2. Data Science
  3. Business Analytics and Visualisation
Get A Free Course Guide

Business Analytics and Visualisation

Study Method
Online
Provider
RMIT Future Skills
Start Date
16 June 2025, 14 July 2025
Get A Free Course Guide
RMIT Future Skills Courses
In partnership with
Accenture
  • This is NOT a free course. Payment upfront required. Enquire now for more information

  • EOFY Sale: Enrol now and get 15% off your course fees! Offer ends 30 June

Course Overview

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.

Read Less

Who's It 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

Job Outcomes

Potential career outcomes could include:

  • Business Analyst

  • Data Analyst

  • Data Scientist

  • Business Intelligence (BI) Analyst

Want to see more job outcomes and how your future could change?
Get the Course Guide

What You'll Learn

By the end of this course you’ll be able to:

  • Interpret a data visualisation based on specific criteria
  • Assess and implement advanced excel and and tableau functions to create data visualisation
  • Build a data visualisation storyboard in tableau to communicate business insights to stakeholders

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

Study Method

  • Online
    Online delivery - online course content with the exception of assessments and work placement
  • Blended
    Blended delivery - both online course content and partial face to face requirements
  • In-class
    In class delivery - predominately face to face course content conducted at a specific location
  • Virtual
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online

Duration and Study Load

  • 6 weeks
  • 8-10 hours per week

Delivery

  • 100% online
  • Mentor supported

Entry Requirements

  • There are no prerequisites for this course
Find out more about the entry requirements for this course
Get the Course Guide

Pathways

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.

Why Choose RMIT Online?

  • 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.

Subjects

Core Units
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
Identify the data project lifecycle and explore basic Excel formulas and functions for analysing data
Comprehend the importance of preparing and preserving data
Practice importing comma separated (CSVs) values into Excel
Want more information about the subjects for this course?
Get the Course Guide

Payment Options

  • Payment upfront required – $1,600 inc GST
Find out more about the payment options for this course
Get the Course Guide

About RMIT Future Skills

RMIT Online offers a world-class education that delivers work-ready skills and knowledge to transform your or your teams’ careers. 100% online, built with industry leaders and backed by RMIT.

We offer short courses and degrees at the nexus of business, design and technology, leaning into the future of work needs. We team up with industry leaders and experts to deliver the best in structured, flexible education using the latest digital tools and interactive technologies.

We’re dedicated to our mission of future-ready careers and creating a ‘community of lifelong learners, successfully navigating the world of work’, designed for the future of work.

Job Outcomes

Potential career outcomes could include:

  • Business Analyst

  • Data Analyst

  • Data Scientist

  • Business Intelligence (BI) Analyst

Want to see more job outcomes and how your future could change?
Get the Course Guide

Study Method

  • Online
    Online delivery - online course content with the exception of assessments and work placement
  • Blended
    Blended delivery - both online course content and partial face to face requirements
  • In-class
    In class delivery - predominately face to face course content conducted at a specific location
  • Virtual
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online

Want to Know More About This Course?
Complete the form and learn about:

  • Pricing and payment options
  • Start dates
  • Subjects
  • Study Method
  • How to get help and contact information
  • Everything you need to know before enrolling!

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