Master Python programming for automation, analytics, and problem solving. You’ll gain the confidence to build efficient, scalable code for real-world projects.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST. Develop in-demand skills with Django, a popular Python web framework used for back-end web programming, and build a portfolio of projects under the guidance of the lead instructor.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Learn Python programming from scratch. Master variables, data types, loops, and functions, and tackle real-world challenges with object-oriented programming. Create a GitHub portfolio to impress employers and master practical Python skills.
Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML and CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.
Knowledge of Python, a general-purpose coding language, can open many professional doors in Australia. It’s a commonly used tool among Software Engineers who work with machine learning, web development, or data science. This language is the most in-demand coding language throughout the country, largely due to its clear syntax and usability. Python also remains Australia’s most-searched programming language and is prevalent in both YouTube and Google searches. The country is currently experiencing a shortage of Machine Learning Engineers and Data Scientists, which is driving Python’s popularity. Python training has applications in many Australian industries such as technology and finance, and is used for AI and data analytics-related tasks.
As Australia’s tech industry continues to expand, computer programming has become an in-demand skill set and is considered a “top-20” career path. During the past year, Australia has seen an 8% surge in its tech sector. This puts the country on track to reach its 2030 goal of having 1.2 million tech-related careers.
Python is typically high-ranked in the Tiobe Index, which monitors how popular coding languages are. On GitHub, Australian Developers remain very active with Python; there are nearly 3 million repositories and more than 1.5 million code uploads on this platform. The language has many diverse uses in Australia. The language's extensive list of libraries makes it a go-to tool for individuals and businesses in many industries. When used with the Django framework, Python helps Software Developers create web apps and websites. Its scikit-learn and Pandas libraries are popular for data analysis and visualization, as well as machine learning. Python also plays an integral role during the software development lifecycle, which includes automation and testing. D-Link Australia and other companies also use Python for software product development.
Python is a popular language across many industries in Australia, especially those in tech-heavy regions. The following sections will briefly explore the role Python plays in finance, healthcare, and software development in Australia.
One of Australia’s most prominent industries is the finance sector. Finance plays an integral role in contributing to the country’s GDP and fueling its economy. It is also a huge employer in fields like insurance, banking, and financial services. The thriving finance industry is also the backbone of other sectors, including lending, superannuation, and housing. As the country’s regulatory framework continues to evolve and advancements in technology shape the face of finance in Australia, many Python career paths are available in this industry. Python training helps those in finance with risk assessment and management, algorithmic training, and data analysis. It’s also popular for back-end services.
The healthcare industry in Australia is the country’s biggest employment provider (approximately 13% of the working population has healthcare-related careers). It also contributes 10% to the country’s GDP. Australia's universal healthcare system, Medicare, caters to an aging population. Current estimates show that the country has over 156,000 health services businesses, including 700 public hospitals. Python training helps those in healthcare perform many useful tasks such as performing medical research, analyzing patient data, and creating medical imaging software.
Australia’s software development industry is experiencing rapid growth throughout the country. Sectors like AI, cybersecurity, and cloud solutions are largely fueling this expansion. During the past five years, the country’s tech sector has gone up in value by 80% and is currently estimated to be worth A$167 billion. Software Developers are in high demand in Australia, especially those who have experience with UI technologies or full-stack web development. Despite the need for qualified programming professionals, Australia is currently experiencing a shortage of Software Developers (approximately 100,000). Those with Python training are in-demand in roles that involve automation, data analysis, and back-end web development.
Salary ranges for Python careers in Australia are competitive and vary depending on experience level. The average pay rate for a Python Developer in the country is A$116,000-A$126,000 a year. Junior Python Developers earn less than this range and can expect to make about A$75,000-A$85,000 yearly. Australia-based Senior Python Developers make substantially more, A$134,000-A$144,000.
Entry-Level back-end Developers in Australia can expect to make A$67,000-A$70,000 a year. Those who hold mid-level positions in back-end development are paid more and earn about A$110,000-A$120,000. Senior-level Back-end Developers make significantly more because of their years of experience; these professionals can expect a salary of A$160,000-A$190,000 or more.
Software Developer positions in Australia pay an average of A$120,000 to A$130,000 yearly. Entry-level positions in software development offer compensation ranges closer to A$95,000 to A$105,000, whereas those who have years of experience make upwards of A$145,000-A$155,000.
According to Glassdoor, location is also a significant factor that affects pay rates. Major cities and tech hubs like Melbourne or Sydney often offer higher salaries than more remote areas, due to a strong demand for coding professionals in those locations. Additionally, company size is another determinant of pay rates. Those who work for larger companies in Australia are typically paid more for their Python coding skills than those who are employed by smaller companies. Additionally, industry focus contributes to salary ranges. Software Developers who work in fields like information and communication technology often receive higher pay than coding professionals who are employed in other industries. Acquiring specialized training in Python or other technologies is also a great way for professional coders in Australia to make higher salaries.
Many employers in Australia are actively interested in hiring Python Developers. The following list highlights some of the companies that are looking to recruit tech talent:
Australia’s tech industry receives significant support from the government. In a partnership with the Tech Council of Australia, the federal government has devised a plan for the country to have 1.2 million tech careers in place in five years. Australia also revised its visa programs, including the Global Talent Independent visa, which provides incentives for qualified digital professionals to move to Australia to find work. Local talent initiatives such as Fee-Free TAFE courses, are sponsored by the government and have helped almost 15,000 Australians receive digital skills training in tech programs so they can pursue junior-level careers.
Another emerging trend in Australia that’s intended to create tech jobs is the increasing prevalence of flexible work arrangements. Employers throughout the country are beginning to prioritize their employees’ work/life balance, which has led to an increase in remote-friendly or hybrid career options. This is also helping to fill tech-related job openings. Despite these efforts, Australia continues to experience a skills gap and will need to add tens of thousands of tech professionals a year to make up for this shortage.
Python’s popularity is exploding across Australia in fields like artificial intelligence (AI) and data science. Many Australian research institutions and companies are turning to Python to help them find innovative solutions to complex problems. In web development, Python remains a go-to language because of its frameworks like FastAPI and Django. It is also propelling developments in mobile and web applications, especially those that involve deep learning and AI. Knowledge of this in-demand programming language is a great way to pursue a high-paying career in a tech or tech-adjacent industry in Australia.