
Courses for beginners
There are no courses available in Tasmania Tasmania for beginner learners with no prior experience or qualifications.
Courses for experienced learners
There are 2 courses available in Tasmania Tasmania for experienced learners with prior experience or qualifications.
Bachelor of Computer Science (Data Science)
- There are no mandated entry requirements.

Graduate Certificate in Business Analytics
- There are no mandated entry requirements.

Key questions
How can I become a statistical analyst?
To become a statistical analyst in Tasmania, you may want to consider completing the Bachelor of Computer Science (Data Science). This qualification will equip you with the skills and knowledge necessary for a career in this industry.
Are there training providers in Tasmania?
You can train to become a statistical analyst by completing a qualification with La Trobe University. Find a course provider near you. Once you make an enquiry, a course advisor will get in touch to discuss your study options and course fees.
What study modes are available?
There are several campuses within the Tasmania area that provide statistical analyst training. The closest campus is 590km away from the center of Tasmania. You can also study a statistical analyst course through online learning. Find a course provider that best suits your study needs.
Related occupations
Explore related occupations in the statistical analyst sector.
Mathematician
A Mathematician applies mathematical techniques to solve real-world problems, creating models, analysing data, and working across various industries.
Statistician
A Statistician applies mathematical techniques to collect, analyse, and interpret data on various issues, presenting findings to stakeholders.
Biostatistician
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Risk Analyst
A Risk Analyst evaluates data to assess risk for clients and businesses, guiding decisions and policies while communicating findings clearly.
Actuary
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Quantitative Researcher
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Physicist
A Physicist researches fundamental principles of the universe, conducting experiments and collaborating with others to advance scientific knowledge and technology.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyse financial data, develop models, and inform investment strategies in financial markets.
Bioinformatician
A Bioinformatician uses computational methods to analyse biological data, developing algorithms and collaborating with scientists to enhance research.
Biomathematician
Biomathematicians apply mathematical techniques to biological and medical challenges, developing models and simulations to advance research and healthcare.
Computational Physicist
Computational Physicists use algorithms and simulations to solve complex physical problems, advancing science and technology through data analysis.
Econometrician
An Econometrician analyses economic data using statistical methods and mathematical models to forecast trends and support policy decisions.
Applied Statistician
An Applied Statistician solves real-world problems using statistical techniques, designing experiments, analysing data, and providing actionable insights.
Applied Mathematician
An Applied Mathematician solves practical problems using mathematical theories in various fields, developing models and algorithms for optimisation.
Actuarial Consultant
An Actuarial Consultant advises on financial risk using mathematical models to help organisations make informed decisions about insurance and pensions.
Actuarial Analyst
An Actuarial Analyst evaluates financial risks using mathematics and statistics to inform risk management and investment decisions.
Financial Engineer
A Financial Engineer creates and implements financial models to solve complex challenges, optimise investments, and manage risk effectively.
Computer Vision Engineer
A Computer Vision Engineer creates algorithms for interpreting visual data, focusing on tasks like object detection and image recognition.
Operations Research Analyst
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Mathematical Modeller
A Mathematical Modeller uses math to create models solving complex problems, analyzes data, and collaborates for informed decisions.
More about statistical analyst courses in Tasmania
Those interested in entering the dynamic field of data analysis can explore a range of Statistical Analyst courses in Tasmania. These courses equip aspiring statisticians with the necessary skills to interpret data, perform statistical analyses, and derive meaningful insights. With Tasmania’s growing demand for data-driven decision-making across various sectors, becoming a Statistical Analyst offers promising career opportunities in areas including healthcare, finance, and government research.
In addition to training specifically for Statistical Analysts, students may also find value in related fields of study such as Science courses and Mathematics and Statistics. These disciplines provide a solid foundation for further specialisation, helping learners to navigate other fascinating roles within the realm of data analysis. For instance, graduates may choose to advance their careers as a Quantitative Analyst or a Applied Statistician, both of which are highly respected positions in the industry.
Furthermore, those with a passion for combining mathematics and science might consider exploring emerging roles such as Bioinformatician or Biomathematician. These innovative professions focus on leveraging data to advance biological research and healthcare solutions, and they offer exciting pathways for graduates of Statistical Analyst courses in Tasmania. Supported by recognised Actuarial Analysts and Econometricians, Tasmania is a vibrant location for students keen on making an impact through data-driven analysis.
As students embark on their journey towards becoming Statistical Analysts, they are encouraged to consider the diversity of roles available within the field. Opportunities such as Computational Physicist and Applied Mathematician showcase the intersection of analytical thinking and practical application. With two dedicated Statistical Analyst courses available in Tasmania, there has never been a better time to invest in this rewarding career path and contribute to the growing landscape of statistical science in the region.
Further reading


What Skills Does a Data Analyst Need?
25th November 2022