Our data analytics boot camp is held through our online classroom experience. Call us at +61 8 6255 5512 for more information on how to apply.

The University of Western Australia Data Analytics Boot Camp


- You’re in a business where data is vital to the bottom line.
- You’re currently a data professional and want to advance your career by gaining new technical skills.
- You’re interested in visualising consumer, social, or popular trends.
- You seek to enter a new field like government, media, or healthcare – and are looking for a way in.
Intermediate Excel
- Pivot tables
- VBA scripting
Fundamental statistics
- Modelling
- Forecasting
Python programming
- Python 3
- NumPy
- SciPy
- Pandas
- Matplotlib
- API interactions
Databases
- PostgreSQL/pgAdmin
- MongoDB
- ETL
Front end web visualisation
- HTML
- CSS
- Bootstrap
- Dashboarding
- JavaScript charting
- Geomapping with Leaflet.js
Advanced topics
- R programming
- Big data analytics with Hadoop
- Unsupervised machine learning
- Supervised machine learning
- Deep learning
Business intelligence software
- Tableau
- Submit form. Fill out the contact form and select the program you’re interested in to request more information.
- Interview and application. An admissions team member will connect with you to discuss program details and answer any questions you may have. Then, you will fill out a short application.
- Assessment. Complete a basic multiple-choice critical thinking and problem-solving assessment. No prior industry knowledge is required.
- Enrolment. Once you are accepted into the program, you will determine which financial option is right for you. Secure your seat by signing your enrolment agreement and paying your deposit.
Part-time data analytics program
- Length: 24 weeks
- Schedule: Classes are held three days a week on a convenient part-time schedule, speak with admissions for details.
Currently enrolling:
- Coding, part-time 9 October 2023
- Data analytics, part-time 17 July 2023
- Cybersecurity, part-time 19 June 2023
No programming experience is required, however it is recommended that applicants hold a bachelor’s degree or have at least two years of experience in business, management, finance, statistics, or a related field.
No, applicants to The Data Analytics Boot Camp do not need to be students of The University of Western Australia. This program is offered through The University of Western Australia in partnership with edX.
The cost of the part-time program is $12,000 excluding GST.* A six-month interest-free payment plan is available for flexible installments.
Interest-free ZeeFi 24-month payment plan: Learners can apply for this extended payment plan option. A $1,000 non-refundable deposit is required to secure your seat in class. The rest of the tuition will be split into twenty-four equal monthly payments.
Fill out the online form to speak with admissions to get more details or learn about other available financial options.
*Tuition is subject to change
Important Note: Any loan arrangement you enter with ZeeFi Pty Ltd, ACN 618 345 314 (Australian Credit Licence 498589), or any other third party, is an arrangement directly between you and the loan provider; any loan you receive is not provided by either edX Boot Camps or the University. Neither edX Boot Camps nor the University receive any commissions or payments for referral or successful loan applications. The lender’s loan approval criteria will apply and you should consider the terms and conditions of any loan carefully. We are not credit advisors. We make no representations about whether you will be given a loan or whether a loan will be suitable for you, and recommend you seek your own independent advice before entering into any loan arrangement. We are not responsible for representations made to you by any credit provider.
Students who successfully complete the boot camp will be awarded a Certificate of Completion from The University of Western Australia in collaboration with edX. The program is not accredited.
Module 1: Excel crash course
Description:
Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends — and hopefully, learn to beat the market!What you will learn:
- Microsoft Excel
- VBA scripting
- Statistics modeling
Module 2: Python data analytics
Description:
Gain a strong foothold in one of today’s fundamental programming languages. In the course of this module, you’ll gain deep proficiencies with core Python, data analytics tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests and Beautiful Soup.What you will learn:
- Python
- APIs
- JSON
- NumPy
- SciPy
- Pandas
- Matplotlib
- Beautiful Soup
Module 3: Databases
Description:
Work with PostgreSQL and MongoDB to organise data into well-structured and easily retrievable data formats.What you will learn:
- SQL
- PostgreSQL
- ETL process
- MongoDB
Module 4: Web visualisation
Description:
Building visualisations is of little benefit without a way to communicate the message. In this module, you’ll be learning the core technologies of web development (HTML, CSS, and JavaScript) to create new, interactive data visualisations that you can share with everyone on the web.What you will learn:
- HTML
- CSS
- JavaScript
- AJAX
- D3
- Leaflet
Module 5: Advanced topics
Description:
By program’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop, and machine learning.What you will learn:
- Tableau
- Hadoop
- Machine learning
Module 6: Final project
Description:
Bring everything that you have learned in class altogether to create an impressive data visualisation application with a small team. Get creative and come up with something cool to show off to the whole world.What you will learn:
- Dreaming up something fantastic and pushing the bounds of reasonable and achievable
Program schedule & locations
Contact an admissions advisor by filling out the form below.