Data Analytics Course: Melbourne
Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs.
Hundreds of Premier Companies Trust GA's Data Programmes to Train Their Teams — Here Are Just a Few
Inside Our Best-in-Class Curriculum
Designed With a Focus on Real-World Relevance
Concentrate on the most important tools for performing data analysis on the job. GA’s analytics advisory board curates the best practices and innovative teaching approaches of our entire expert network to meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they’ll face in the field.
Translate Data Into Meaningful Insights
Designed for students with a variety of professional backgrounds and experience levels — including beginners — this course takes a deep dive into the data analytics process: collection, cleaning, analysis, and visualisation. Get hands-on experience with Excel, SQL, and Tableau, and transform raw data into a critical decision-making tool.
Get a Head Start With Pre-Course Prep Lessons
Once you enrol, we equip you with online, self-paced preparatory lessons to set you up for success. Dive into the fundamentals of working with data in Excel. You’ll gain a common vocabulary to start collaborating with classmates on day one.
Real-World Portfolio Projects
Graduate with a polished capstone project, applying rigorous data analysis techniques to solve a real-world problem. Collect, clean, and analyse a data set and create a compelling presentation to share your insights.
Individualised Instructor Support
Get guidance, feedback, and more from experts who are dedicated to supporting your learning and career goals. Instructors are on hand in class and during office hours to offer real-time technical assistance and help you turn ideas into action.
Global Network of 70K+ Alumni
Create connections with peers that last well beyond your time in the classroom. As part of the GA alumni community, you’ll gain access to networking events and workshops to keep evolving your career for years to come.
Graduate With a Professional Portfolio: Sample Projects
“I learned and did things over the last 10 weeks I never thought I'd be able to do on my own, nor would I opt to do on my own. It truly opened my world and confirmed my love for data analytics. The course pushed me to my 'learning' limits, but in the best way possible.”
Investment Associate, Echo Health Ventures
Anahita Nakhjiri, GA San Francisco Graduate
Elite Instructors
These data analytics professionals and consultants bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job.
GA instructors are committed to providing personalised feedback and support to help you gain confidence with key concepts and tools.
Data Consultant
Data Specialist and Developer at REA Group
Analytics Manager at Atlassian
Case Study: Bloomberg Partners With GA for Data Training
Problem: To continue gathering and analysing unprecedented amounts of data at market speed, Bloomberg sought to evolve the knowledge and skills of employees on its Global Data team.
Solution: Through the Leading With Data programme, General Assembly delivers rigorous customised training to hundreds of Bloomberg employees. Its analytics curriculum focuses on the data wrangling and visualization tools used throughout the organization.
Impact: “I have seen business initiatives that were prototyped during the class put into production. The programme has led to tangible business results, as well as creating a common foundational skill set that we all must have going forward.” — Domenic Maida, Chief Data Officer, Bloomberg
Case study source: Rethinking the Build vs. Buy Approach to Talent: How Savvy Employers Are Building Tech Skills From Within, by Josh Bersin, Senior Advisor, Whiteboard Advisors
Flexible Finance Options
Employer Sponsorship
Receive full or partial tuition reimbursement from your company.
As low as
$0 AUD
per your employer’s benefits
Full Tuition
Total cost of course:
$4,500 AUD
Full tuition
Contribution Matching
Eligible workers between 45 and 70 years old can receive partial government funding via the Skills Checkpoint program delivered by Verto.
The Skills Checkpoint Program is an initiative of the Department of Employment, Skills, Small and Family Business. Applicants must be Australian citizens or permanent residents who are:
a. Employed and at risk of entering the income support system; or
b. Unemployed for less than three months and not receiving employment assistance.
Payment by students or their employers must match Verto’s contribution. More information is available via https://skillscheck.com.au/skills-checkpoint-for-job-seekers/.
Up to
$2,200 AUD
in tuition matching
Loans and Instalment Plans
Apply for a loan from one of our high-quality lenders, Study Loans or zipMoney. Or, divide tuition into two, three, or four easy payments.
As low as
$1,125 AUD
per instalment
Need advice? Our Admissions team is here to help.
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Frequently Asked Questions
Why are data analytics skills relevant today?
Data is an integral part of every successful business. Regardless of industry, companies need to learn how to harness data to make critical decisions. In this course, you will gain a robust and marketable skill set that can be applied to almost any industry or profession.
According to IBM, more than 2.7 million data job openings are expected in 2020, and the need for data-driven decision-makers and functional analysts will be most acute. Learning data analytics can help you advance in your current profession or explore a growing field.
What are the backgrounds of data analytics students?
Data Analytics is our best entry-level data course for professionals looking to hone analysis skills and evolve their careers. You’ll find a diverse range of students in the classroom including:
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Data analysts who want to brush up on core techniques and formalize their skill set.
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Digital marketers, sales managers, product managers, UX researchers, and others who deal with large volumes of data on a daily basis.
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Managers who need to tell compelling, data-driven stories to business stakeholders to influence decision-making.
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Career-starters looking for a practical skill set to boost their resumes.
Regardless of their backgrounds, this program attracts a community of eager learners who are interested in manipulating large data sets to solve problems.
What does my tuition cover?
Here are just some of the things you can expect as a GA student:
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40 hours of expert instruction in performing defensible data analysis with Excel and SQL and communicating insights with visualisation and dashboarding tools.
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3 hours of self-paced pre-work to brush up on data wrangling in Excel before the course begins.
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Robust coursework, including expert-vetted lesson decks, lab materials, and more. Refresh and refine your knowledge throughout your professional journey as needed.
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A portfolio-ready capstone project built with support from your instructor.
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Individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA’s dedicated team.
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Exclusive access to alumni discounts, networking events, and career workshops.
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A certificate of completion to showcase your new skill set on Linkedin.
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Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the data analytics field.
Will I receive a certificate?
Yes! Upon passing this course, you will receive a data analytics certificate. Thousands of GA alumni use their course certificate to demonstrate skills to employers and their Linkedin network. GA’s Data Analytics course is well-regarded by many top employers, who contribute to our curriculum and use our data courses to train their own teams.
Who teaches this course?
Our instructors represent the best and brightest senior analysts from top companies like Atlassian, Capital One, and Deloitte. They combine in-depth experience as practitioners with a passion for nurturing the next generation of talent.
We work with a large pool of experienced instructors around the world. Please speak with our Admissions team to find out who is teaching the upcoming course in your location.
Are there any prerequisites?
This is a beginner-friendly program with no prerequisites. If you are new to data analysis, you will have access to three hours of pre-work to help you prepare for the course, and your Admissions producer may recommend that you take a short Excel workshop. If you already work with basic functions in Excel or have dabbled in SQL, our curriculum will enable you to perform more powerful analyses.
Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
Can I work full-time while enroled in this course?
Yes! All of our part-time courses are designed for busy professionals with full-time work commitments. Depending on your location, classes meet twice per week in the evenings or all day on Saturday. If you’re able to dedicate a full week to learning, we also have a full-time, accelerated 1-week option. You may opt to take this course in-person at one of our 20+ campuses or online via our Remote classroom setup.
You’ll be expected to spend time working on homework and projects outside of class each week, but the workload is designed to be manageable with a full-time job.
If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.
Which format should I take this course in — on campus or online?
Our Remote courses offer a learning experience that mirrors GA’s on-campus offerings but allow you to learn from the comfort of home! If you don’t live near a GA campus, have a busy travel schedule, or just want to save yourself the commute, a Remote course could be a good option for you, if available in your market. You’ll still get access to the expert instruction, learning resources, and support network GA is known for.
If you prefer to learn alongside your peers and can make it to campus, our in-person courses allow you to take advantage of our beautiful classrooms and workspaces.
Our Admissions team can advise you on the best format for your personal circumstances and learning style.
What are my financing options?
We offer a variety of different financing options, including instalment plans, loans, and contribution matching, so you can focus on what counts — your education. Plus, more than 45% of our part-time students receive full or partial tuition reimbursement from their employers. Speak with our Admissions team to learn more and find the best fit for you and your finances.
What projects will I work on during the course?
For your capstone project, you’ll select a real-world data set for exploration and apply all of the techniques covered throughout the course to solve a problem. You’ll craft a problem statement, prepare technical documentation, and communicate findings through a stakeholder presentation. You’ll graduate with a polished, portfolio-ready project to showcase your analytical and visualisation skills. We encourage you to tackle a problem that’s related to your work or a passion project you’ve been meaning to carve out time for.
While 1-week students will concentrate on their capstone piece, 10-week students will complete two additional, smaller projects that designed to reinforce what you’ve learned in each unit. Note that the vast majority of project development will be completed outside of class.
How does this course relate to GA’s other data programmes?
Data Analytics is our best entry-level course for professionals wanting to develop analysis skills that can be applied in a wide range of business contexts.
Some Data Analytics graduates who have existing programming knowledge may go on to enrol in a Data Science course and learn more complex analysis techniques involving computation.
For those committed to a career change, the full-time Data Science Immersive programme provides the most direct pathway to data science and other advanced analytics roles.