Bridging gaps in the science of data
Statistics for understanding
Statistics turns data into information. It supports understanding and empowers decision-making. We offer assistance and training that is grounded on the latest statistical-methodological science.
Trustworthy data analytics and result validation
We acknowledge that only reliable information is helpful information when providing foundations for understanding and reliable solutions. We offer assistance with data analysis and the validation of data analysis protocols, results and the reliability of derived information.
Train your mind to think as statisticians do
We offer training & learning opportunities for developing statistical thinking skills, exploring advanced statistical methodologies and learning about their role in the data analytics and data science fields.
About the founder
Dr. Ana Kolar holds a PhD in Statistics, BSc in Economics and a postgraduate qualification in tertiary teaching and learning. Her PhD advisor and statistical guru is one of the greatest statisticians of today – Professor Dr. Donald B. Rubin from Harvard University.
Ana has over 15 years of international professional experience in the fields of academia, applied statistics and research. As an economist, she has worked in different industries and sectors – from oil and gas, management consulting to IT solutions. Throughout this time, she has kept in touch with academia, teaching macroeconomics and business communication courses.
In her later career, she spent some time as a statistician in the investment banking sector before entering full-time academia as a business statistics lecturer.
Her passion for helping people and the environment, brought her to the office of the United Nations, where she provided research and statistical assistance in the field of population and development.
Ana’s professional experience includes a variety of projects, from business evaluations to business developments, from human resources and cultural capital evaluations to macroeconomics and financial statistical modelling, from database building to statistical analyses for evidence-based policies. In 2015, her passion for statistics, learning and sharing led her to develop new learning approaches for developing statistical thinking skills – the essential skills of the digital era. Some of this material is now available as a part of an online course on analysing causal relationships – another key topic in data science and analytics.
Ana remains academically active. Her main research interests within the statistical-methodological field are in causal inference, impact evaluations and statistical thinking.