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Top 5 Data Analytics Courses In Gold Coast With Practical Classes

Take a break from the hunt for Data Analytics Courses In Gold Coast. The list of best educational entities that provide the best Data Analytics programs In Gold Coast is shared below. Many people consider data analytics as a means to earn bread and nothing more. But there is more to it. It is an interesting stream that gives rise to data analytics strategies used for improvement of the business performance along with learning the difference between big data and data analytics. Today, we will discuss the elements of data analytics strategy along with details of the ideal Data Analytics Courses In Gold Coast. 

Data Analytics Courses In Gold Coast

Data Analytics Strategy:

Before learning in detail about data analytics courses in Gold Coast, lets look at what data analytics strategy is. A data analytics strategy is a sketch on how business will utilize analytics and data to drive business decisions. This strategy is made of  elements and they are

  • Collection of data
  • Analyzing data
  • Reporting results
  • Improving processes
  • Creation of data-driven culture

Collection of Data:

Data analytics begins with the collection of data which involves considering sources for data that will have outcomes of business; internal and external, outcomes. Data is usually gathered from 

  • Operational systems: CRM, HRMS, and ERP are examples of operational systems. 
  • Transaction data: Data gathered from e-commerce platforms, financial databases. and point-of-sale systems come under transaction data.
  • Social media and web data: This category of sources includes data from social media platforms, online surveys, and web analytics tools. 
  • Machine data: Data collected from RFID tags, sensors, and related devices is called machine data.

Data analysts may use different methods for collecting data. Some professionals use manual techniques whereas a few consider automation. There are other ways to collect data as well such as sensor systems to track movements.

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Analyzing Data:

The next step after data collection is analysis. If you are a data analyst, you will be trained to use statistical techniques for the examination of the data and extraction of useful information. The goals of your organization may differ from the other companies and they depend on the business objectives and nature of the data. 

Identify Trends and Patterns

As we have discussed previously, data analytics will assist you in identifying market behavior or customer behavior. The identified information will be used in making better decisions about pricing, promotions, and products. 

Predict Future Outcomes

One of the ways a data analyst uses data analytics is for the development of predictive models to forecast future events. The identified information is used for making decisions about staffing, marketing, and inventory.

Detect Anomalies

Data analysis is also used by data analysts to unveil unusual patterns that are an indication of problems like fraud. The information is used for taking corrective actions for the prevention of losses. 

Data is analyzed using statistical analysis and data mining software which allow a data analyst to examine data in different ways and consider useful information. 

Reporting Results:

The next task of a data analyst is to report the results post completion of the data analysis. This is a critical step as it allows the professional to communicate the insights with concerned parties and make decisions as per the findings. 

Though there are a range of reporting methods, some of the commonly used ones are

Presentation of Findings in a Dashboard

A data dashboard will allow the audience to see the key insights at a glance. Dashboards are useful for monitoring performance for a chosen period or comparing different data sets. 

Generating Reports

Reports are summaries of data that comprise key findings. Reports are created to share results with others for the interpretation of data. 

Creating Infographics

If there is one easy way to effectively communicate information with others that is an infographic. Yes, an infographic is a visual presentation of data that is easier for the audience to understand. 

The main reason to report results is to help decision-makers confirm that data analytics has a positive influence on the business.

Improving Processes:

As mentioned earlier, data analytics is a process and it has to be improved. It has to be improved post data collection and analysis. 

It can be done by introducing changes to the way data is processed, collected, and analyzed. Sometimes, the data analyst may also change the approach to decision-making. 

Continuous improvement in the process will help you make sure that implementation of data analytics is positively impacting the business. 

Creation of Data-driven Culture:

Data is a strong asset and it can make or break a business. This is why it is important to create a data-driven culture where everyone knows to use data in the best possible way. One way to achieve it is by training the employees on the usage of data through essential tools.You must note that it does not certainly mean that everyone with access to data is free. All the data users must be made accountable for accessing the data sources and making decisions for the business. 

The common ways used to build a data-driven culture are 

Data Accessibility:

It is not possible for employees to make decisions without data. This is why data analysts and relevant employees must be provided with access to data as required by them. 

Training Employees on Data Usage:

Don’t you think it is a waste of time to allow an employee access to data when they do not have knowledge about data analytics? Yes, this is why separate sessions must be arranged for the staff members to educate them on using data analytics for the benefit of the company. 

Encourage Data-driven Mindset:

Encourage the employees to think about ways to effectively use data for the improvement of business performance. For example, managers can take up the responsibility of assigning tasks to employees and request them to find solutions to existing business problems. 

Encourage a Culture of Accountability:

Holding employees accountable for making decisions will ensure the optimum and positive utilization of data analytics for the organization’s growth.

Also Read,

List of Institutes That Offer the Best Data Analytics Courses in Gold Coast

  • Bond University
  • Southern Cross University
  • Queensland University of Technology (QUT)
  • Torrens University Australia


IIM SKILLS is an institute that has trained over 35000 within a short period. It has a history of educating learners on various domains; writing, finance, analytics, and marketing. It provides the best upskilling programs in the world. If you do not believe it, check out its presence on famous media like Hindustan Times and India Today. The faculty at IIM SKILLS are highly experienced and are considered the best mentors in the industry. If you are passionate about acquiring skills related to data analytics, choose its Data Analytics Course which is listed on the top Data Analytics Courses In Gold Coast. If you want to become a business intelligence engineer, data analyst, business analyst/senior business analyst, business intelligence analyst, or manager in relevant departments, apply to this course now!


Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Live projects and case studies are included in the course to help the students get exposed to real-life scenarios in business. Students get an opportunity to get hands-on experience with the concepts through the guaranteed internship. Fresh graduates, UG/PG students, IT professionals, finance & banking professionals, sales professionals, and managers of supply chain management can avail of this course. The demo facility gives students the opportunity to decide on joining the program.


Course Curriculum

  • DA using VBA
  • DA using SQL
  • DA using Power BI
  • DA using Python 1
  • DA using Python 2
  • DA using Tableau
  • DA using Alteryx
  • Data Science using R

Course Highlights

  • Master Certification
  • Lifetime Access to online study material
  • 24×7 faculty support
  • Practical Learning
  • Tools driven Training
  • Money back guarantee

Course duration: 6 months

Course fees: ₹ 49,900 + Taxes.

Other Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

2. Southern Cross University:

Southern Cross University offers one of the best Data Analytics Courses In Gold Coast. It is named “Business Analytics and Big Data”. This is an undergraduate program designed for students who aspire to rule the data analytics field with their skills. 

Learners who complete this course will attain the ability to understand and apply data analytics to assigned tasks alongside using big data to help organizations in converting opportunities into strategic resources. If you join the program, you will acquire the skill set to identify trends and patterns in data and transform them into information that can be used to assist the business to outnumber its competitors in regard to sales. You will also master the art of applying statistical techniques to data and analyzing hidden relationships for evaluation and forecasting purposes. 

By the end of the course, you will be in a position to validate and communicate results obtained from analysis and help the decision-makers in improving the performance of the business. 

Course Curriculum

There are 6 modules in the course and they are

  • Module 1: Sample data summarizing
  • Module 2: Linear regression
  • Module 3: Multiple linear regression
  • Module 4 & 5): Business Forecasting (Part I and II)
  • Module 6: Model Building

Visit the website of Southern Cross University and send your questions related to fees and duration for full details.


3. Bond University:

Bond University is a famous educational institute in Australia. If you are an international student and are searching for universities that offer the best Data Analytics Courses In Gold Coast, then it’s time for you to visit the official website of Bond University. Both domestic and international students like you have the opportunity to complete the “Master of Business Data Analytics” course and enter data science and related fields as professionals.

Course Curriculum:

It consists of 4 semesters with six core subjects and one general elective

It is mandatory for students  to complete 

  • Business Analytics Coding
  • Data Science
  • Infrastructure for Data Analytics
  • Applied Machine Learning
  • Regression Models and Statistical Learning
  • Application of Data Analytics to Project Completion
  • Applied Econometrics and Linear Models

Semester 1

Introduction to Programming

Usage of tools for econometrics

Semester 2

Data analysis for different types of business contexts

classification modeling

regression modeling

modern statistical learning

Semester 3

Data Science Techniques

Lectures on chosen data analytics subjects 

Semester 4

In this semester, you are required to pick one business subject and an analytics subject along with elective subjects. 

Course Highlights

  • Bond FinTech Hub
  • Bloomberg certification
  • Program specific-scholarships
  • Accredited by EFMD EQUIS and AACSB
  • Access to learning resources and state-of-the-art facilities

Course duration: 1 year and 4 months

Course fees: $69,270

4. Queensland University of Technology (QUT):

The “Master of Data Analytics” offered by Queensland University of Technology (QUT) is considered the best among Data Analytics Courses In Gold Coast. This program will help potential data analysts in developing skills that allow the extraction of insights from data. The best part about being a part of this course is students are given the freedom to ask an unlimited number of questions to completely grasp the concepts. You can become a data analyst, data analytics specialist, data systems developer, or data-driven decision maker post completion of the course. That’s because you will acquire the skill to efficiently use different techniques, tools, and approaches and solve business problems. 

Course Curriculum

You are expected to score 192 credit points of which you must score a minimum of 28 credit points in core units, 96 in chosen major, and 48 in elective units. 

Options in Major Units:

  • Biomedical Data Science;
  • Computational Data Science;
  • Statistical Data Science; or
  • No Major option

Course duration: 1-2 years for full-time students, 2-4 years for part-time students

Course fees: CSP $7,900 per year (full-time)

5. Torrens University Australia

Torrens University Australia is one of the leading institutes that offers the best Data Analytics Courses In Gold Coast. “Master of Business Analytics (Advanced)” is a program that is specifically designed for students interested in learning data analytics. If you join the course, you will learn to create and implement optimized solutions for solving business problems. You will become an asset to the organization due to your ability to suggest strategic solutions and curate best practices. You will also acquire the ability to transform managerial decisions and managerial decisions for the benefit of the company. 

Course Curriculum

Year 1 (core subjects)

  • Business Environment
  • Business Communications
  • Basics of Business Analysis
  • Data design and Data Modeling
  • Applied Analytics and Statistics
  • Big Data Analytics
  • Storytelling and Visual Analytics

Year 2 (core subjects)

  • Applied Business Optimisation
  • Artificial intelligence and its role in Business
  • Engagement in Industry Capstone

6 Electives are to be chosen from the below list

  • People, Teams, and Management
  • Dynamic Leadership
  • Business Decision Analytics
  • Systems Thinking
  • Strategic Management
  • Entrepreneurship and Innovation Creativity
  • Information Management System
  • Organizational Best Practices
  • Corporate Sustainability
  • Marketing
  • Financial Management
  • Basics of Information Systems
  • Microservices Architecture
  • Requirements Engineering
  • Systems Design and Analysis
  • Cybersecurity
  • Agile Project Management
  • Project Management Principles
  • Project Budgeting and Planning
  • Project Control and Execution
  • Procurement and Contracts
  • Business Process Systems and Management
  • Integrated Project Management
  • Portfolio, Project, and Program Management
  • Engineering Sustainability
  • Engineering Risk Management
  • Engineering Strategy
  • Enterprise Development unit
  • Fundamentals of Cloud Computing
  • Human Centred Design
  • Intelligence Systems
  • Software Development Management
  • Economic Principles
  • Basics of Financial Accounting
  • Financial Reporting and Accounting
  • Advanced Financial Reporting
  • Social Enterprise

Course Duration: 2 years

Course Fees: $3,340

Must Read,

How is Big Data Different From Data Analytics?

Speaking of data analytics, you must have heard of big data in connection to the analysis of data. 

Big data is data of large size. It is a combination of structured and unstructured data along with semi-structured data which is in larger quantities. This kind of data requires an expert to handle it as it is complex in nature. Basic data management must be replaced by specialized tools to process big data. The characteristics that differentiate big data from normal data are its velocity, volume, and variety. Big data is usually retrieved by data analysts from sources like jet engines, social media sites, Sensors, and Data warehouses. 

Big Data is Applied in 

  • Financial services
  • Communications
  • Communications, Media, and Entertainment
  • Retail Operations
  • Banking and Securities

Organizations That Utilize Big Data Enjoy 

  • Diversified revenue streams
  • Secured data management
  • Authentic data
  • Product price optimization
  • Greater innovations

Data Analytics:

If you are not familiar with data analytics, let me share some information on the same. It is an approach used for the extraction of data and drawing meaningful insights from it. It is used for finding out patterns and trends in raw data. The found patterns and trends are then utilized for making sense of them. It is useful for companies in understanding their customers and making strategies for the development of products & services. Some of the commonly used data analytics are Diagnostic, Predictive, Descriptive, and Prescriptive analytics. 

Data Analytics Has Many Applications of Which a Few Are Here 

  • Healthcare
  • Traveling
  • Gaming
  • Energy Management 
  • Risk management & detection

Companies That Use Data Analytics Can Enjoy 

  • Improved Performance
  • Better decision making
  • Best quality and consistency
  • Data-driven marketing
  • Real-time monitoring and forecasting 

Big data is used in the implementation of data analysis solutions and here’s how. 

Big data as discussed earlier, is large sets of data that can be used in the analysis of data for uncovering insights and supporting organizations to make better decisions. 

Common data analytics solutions like Spark, NoSQL databases, and Hadoop are introduced for handling big data and are used for processing, storing, and analyzing large quantities of data in a parallel and distributed manner. 

Big data can also be combined with data sources like semi-structured data, structured data, and unstructured data for viewing and understanding an organization’s data landscape to make better decisions, more accurate predictions, and achieve effective outcomes. 

In short, big data is an input for data analysis solutions that drives a company’s performance.


Data Analytics Courses In Gold Coast are in high demand at the moment. The reason behind the same is the vast number of career opportunities in the field. However, not many students are able to find and join the best Data Analytics Courses In Gold Coast. That is why a list is shared to help every aspiring data analyst. 

  • Bond University
  • Southern Cross University
  • Queensland University of Technology (QUT)
  • Torrens University Australia

Every data analyst is a professional who uses data analytics to create a data analytics strategy to solve the problems in a business and thereby improve its performance. A data analytics strategy has 5 components to help a business produce the desired outcomes and they are

  • Collection of data
  • Analyzing data
  • Reporting results
  • Improving processes
  • Creation of a data-driven culture

FAQs on Data Analytics Courses In Gold Coast

What are the elements of a data analytics strategy?

A data analytics strategy is made of 5 elements to help a business improve its performance and they are 

  • Collection of data
  • Analyzing data
  • Reporting results
  • Improving processes
  • Creation of a data-driven culture

The main purpose of a data analytics strategy is to help businesses make data-driven decisions using data analytics and data. The data analyst must have patience, flexibility, persistence, and accountability to carry out the execution of a data analytics strategy to help a business improve. That being said, he should also have the passion to use data for identifying and solving business problems. 

What makes data analytics one of the most availed streams in the current world?

Data analytics is an interesting domain as it involves the usage of various statistical tools and techniques to solve business problems. Also, there are lots of career opportunities in the data analytics field. An individual who completes a data analytics program has the option to become a business intelligence engineer, data analyst, business analyst/senior business analyst, business intelligence analyst, or manager in relevant departments. 

Which institute has the best Data Analytics Courses In Gold Coast?

There are many educational entities that offer Data Analytics Courses In Gold Coast. However, the ones that provide you with the best Data Analytics Courses In Gold Coast are

  • Bond University
  • Southern Cross University
  • Queensland University of Technology (QUT)
  • Torrens University Australia

Anuja Maniyala is a intern at IIM SKILLS. She worked as a creative content writer for AADOX and Quoteslyfe in the past. She has identified her passion for writing after working as a banker in some well-known companies like Wipro and HSBC. Her current target is to become an author of a unique and creative self-help book. Her enthusiasm and curiosity to learn about the human mind and behavior makes her different from the rest of the world.

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