About us - Presciient

About us

The reasons to choose Presciient

 

Presciient training delivers a range of unique benefits that you’re not likely to find with other providers. We go beyond teaching processes to supplementing that knowledge with thinking skills that enable participants to understand, improvise, troubleshoot and manage the data-science function.

Our courses deliver some of the knowledge that you’d typically get only through intensive study of mathematical theory in a university degree—but in a much shorter time frame, and in a much more focused, intuitive, and accessible way that’s suitable for people without any statistical background, while also offering the same advantages for those already well-versed in maths.

Courses are highly visual, keeping the use of formulae to a minimum and transferring statistical intuition in its essence—the Zen of data science. They are also a taste of what it’s like to be mentored in data science, coming from industry veterans with deep knowledge of how to best operate as a data scientist, and of what organisations really need from the discipline.

The reasons to choose Presciient

Presciient training delivers a range of unique benefits that you’re not likely to find with other providers. We go beyond teaching processes to supplementing that knowledge with thinking skills that enable participants to understand, improvise, troubleshoot and manage the data-science function.

Our courses deliver some of the knowledge that you’d typically get only through intensive study of mathematical theory in a university degree—but in a much shorter time frame, and in a much more focused, intuitive, and accessible way that’s suitable for people without any statistical background, while also offering the same advantages for those already well-versed in maths.

Courses are highly visual, keeping the use of formulae to a minimum and transferring statistical intuition in its essence—the Zen of data science. They are also a taste of what it’s like to be mentored in data science, coming from industry veterans with deep knowledge of how to best operate as a data scientist, and of what organisations really need from the discipline.

Elite data science training

Eugene Dubossarsky’s courses are unlike those offered in universities, online, or by private providers. His data-science classes, in particular, give clients not just knowledge of a process, but the real power of understanding the underlying concepts, allowing them to confidently practice, manage, promote and risk-assess data science.

Dr Dubossarsky says “the way many courses teach data science is like teaching people to memorise and recite poetry in a language they do not understand”. By contrast, he confers an understanding of that language, taught in an intuitive, accessible way that leaves trainees with an instinct for data science. Keeping formulae and mathematics to a bare minimum and taking an intuitive, visual approach, Eugene’s courses deliver a compressed mentoring experience as much as they do content. This is difficult for an average trainer to replicate. Trainees benefit from his extensive knowledge and over 20 years of commercial data-science experience, as well as his unique teaching style.

The resulting testimonials speak for themselves, and candidates come from all walks of life: CEOs, general managers, salespeople, IT professionals, marketing staff, public servants and of course people from many functions in the finance world. These testimonials are extensive, and many more are available on request. With specific regard to finance, Eugene has mentored and advised senior leaders and their teams in a number of major Australian banks.

About Dr Eugene Dubossarsky

Dr Eugene Dubossarsky is a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the founder of the Australia–New Zealand Data Analytics Network, with over 15,000 members, and the head of the Data Science Sydney group (5,000+ members), the Sydney Users of R Forum (SURF) (2,000+ members), and Datapreneurs (500+ members). He is regularly invited to be a conference presenter, consultant and advisor, and appears in print and on television to discuss data science and analytics. Eugene also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R.

See Eugene’s presentations and interviews in videos, podcasts and text here.

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