Python Programming Course: Fundamentals

Andrew has delivered workshops on data strategy, program evaluation and AI applications in social science. His expertise includes machine learning, multimodal AI pipelines and advanced statistical analysis. He has previously taught on topics including restorative justice program evaluation and data-driven decision making.

Andrew worked as a Senior Research Associate at the Vera Institute of Justice, where he led AI-driven data solutions and ETL pipeline development across cloud platforms. He has managed research teams and analytics projects for John Jay College of Criminal Justice and government agencies, with a focus on equity, diversion programs and public health.

Andrew holds a Master of Public Administration from the University of Washington and is a Pi Alpha Alpha Honours inductee. He has completed advanced training in AI and machine learning, including LangChain systems, LLMOps, and prompt engineering, alongside certifications in Principles of Machine Learning and AI strategies from UC Berkeley and Deeplearning.ai.

Paul Yacobellis has been helping professionals optimise their personal productivity for the past 10 years. He has assisted management and individuals implement time saving, energy maximising techniques. He has lead training sessions that cut out wasteful time, reduce stress, and increase overall well-being. Paul’s techniques range from technical to behavioural.

Paul also has experience in data mining and big data analytics, statistical computing, economic/econometric consulting, spatial statistics and Geographic Information Systems (GIS), transport modelling, and business development. He has consulted with government agencies, private corporations and universities, and has previously taught statistics, mathematics, economics and computer science at the University of Central Florida, Orlando.

Paul holds a Master’s in Statistical Computing (Data Mining track) and a Bachelor of Science in Economics and Mathematics.

When not sharing his passion for enhanced personal productivity, Paul works fulltime as data scientist and enjoys parenthood, long-distance running and reading great books.

Tony spent the first 12 years of his professional career developing software algorithms for companies including Canon, the CSIRO and Fairlight before transitioning into the transport sector where he has worked on a variety of issues such as freight optimisation and network design. Tony's key areas of expertise are geospatial analysis, software development (C++, Python, Django, R, Javascript), discrete choice modelling and mixed-methods research. He teaches several subjects at the University of Sydney and the Centre for Continuing Education including Python, R and GIS analysis.

Tony leads the Data & Analytics work on walking and cycling at Transport for NSW, and completed a PhD exploring the impacts of automated vehicles on walking and cycling in contrasting environmental contexts. He uses a diverse set of technical skills to tackle challenging problems, and is passionate about encouraging walking and cycling as a means to improve the life of people and the cities they inhabit.