Learn the fundamentals of analytics
This no-code, vendor agnostic online course gives you an all-round understanding of analytics including vocabulary, business use, techniques and the analytics process to turn raw data into business insights
About IAPA (Institute of Analytics Professionals of Australia)
IAPA, the Institute of Analytics Professionals of Australia, is the only analytics association in Australia. We promote the growing strategic role played by data analytics in the business arena. We're committed to aiding executive understanding of analytics' role in business transformation and data-driven decision making; as well as developing recognition of analytics professionals in the wider business community. This includes establishing standards of practice, excellence, accreditation and education.
IAPA also assists and supports organisations to find and retain staff, build high-performance teams, develop staff skills and enhance the perception of key analytics roles within the C-suite.
Member Benefits
Corporate recognition
Organisations with strong data science, analytics and business intelligence competencies, join IAPA as corporate members to demonstrate to staff and the public their commitment to enhancing analytics capability, advancing the careers of team members and promoting data-driven decision making.
Be seen as an employer of choice
Attract and retain analytics staff by demonstrating your commitment to the industry and showcasing your organisation to the 8000 strong IAPA community. Add your voice to key industry issues and help to lead industry positions on ethics, privacy, transparency, diversity and data-for-good.
Collaborate with peers
Joining IAPA as a corporate member means you're joining other analytics leaders to network at CAO or Head of Analytics level. IAPA brings the group together regularly to discuss the key challenges facing analytics leadership and share experiences with like-minded peers.
Resources + Latest News
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Data Visualization Libraries to Enhance Your Custom Analytics
The world of data visualization is constantly evolving. If you’re reading this, it’s likely for one of two reasons: You need a visualization library for your project, or you’re curious about what’s changed since 2020 in terms of visualization libraries. Either way, welcome aboard! -
Pandemics, analytics and politics: how data-driven AI makes better policy
Dr Nuria Oliver’s algorithms model the perfect politician, one who can make accurate and cost-effective policy responses amidst the chaos of a COVID-19 outbreak. Could this start a new global trend: evidence-based policymaking?