Testimonials - Presciient


Presciient’s courses in R and a range of data analytics disciplines are highly regarded by academics and industry leaders.

Here’s what some of our high-profile course graduates have said about their experiences.

As a manager of analysts, I attended this course to deepen my understanding of the principles of predictive modelling in R, and I was absolutely satisfied with this course. Eugene’s explanation of the fundamentals and the theory behind the techniques was much clearer than any online resource I have come across. His knowledge of what he is teaching is first class and I would recommend Eugene to everyone who is interested in not just learning a technique, but developing true understanding.

Maz Dunic

Senior data analytics manager, Save the Children Australia

Eugene’s fraud and anomaly detection course is extremely valuable for anyone wishing to learn more about fraud detection using analytical techniques. Eugene’s ability to cater and tailor the course for all levels of experience is fantastic and much appreciated.

Hannah Sakai

Senior analyst, Insurance Australia Group (IAG)

Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all - he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.

James Beresford

Director, Agile BI

I’m very comfortable providing a personal recommendation for Eugene Dubossarsky and his data analytics course for forensic and security purposes. Foremost, I have directly observed Eugene’s status as a leader among the Australian data-science community. I have seen this includes extensive connections and work with highly skilled forensics professionals within major Australian organisations.

In addition to deep expertise, Eugene’s course is pedagogically sound and useful to ‘clients’ (e.g. managers, stakeholders) and to specialists in forensic work. My decade teaching helps me appreciate the systematic gradation of materials. This progression takes participants from demonstration and experiential engagement with simple techniques and fundamentals (e.g. pros/cons of rule-based detection) to explaining the distinguishing basis of state-of-the-art analytic techniques readily usable and accessible through open sources. I readily followed the course, yet my professional background and expertise do not include IT, maths, or computer science. But in advising on reform of operating strategies I can now communicate effectively with forensic specialists and form evaluative judgments on methods and findings.

The value of this course to an organisation is determined much, much more by the quality of its plans to exploit the knowledge attained, than whether the course is rated subjectively ‘good’ or ‘outstanding’. I suggest keying into Eugene’s depth of knowledge and potential indirect access to other national and international experts is the biggest opportunity provided by this and his other courses.

Dr John Lowry, BCom, PhD

Founder, Digital Living Collective and Chinese Investment and Trading Services

The Introduction to R course provided clear and logical assistance to getting up and running with R. More than that, the real value was in providing guidance on the myriad of online resources and introducing me to a network of passionate and helpful R users. Eugene is a knowledgeable and approachable teacher. I wouldn’t hesitate in recommending the course. I feel that I am now fully on the road to applying R and using data to improve efficiency across my organisation.

James Orton

Data and IT manager, UNICEF Australia

Thank you very much for the information I gathered at the Predictive Modeling course I attended recently. As a beginner in R, I thought that it might be a bit overwhelming. But I was wrong! Eugene did a fantastic job at explaining the concepts and all practical work was engaging and easy to follow. Entertaining, informative and most importantly relevant – it has already proven valuable in my work.

Sanja Djekic

Data manager and analyst, South Western Sydney Local Health District

For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!

The Data Analytics for Fraud and Anomaly Detection in Forensics and Security course is brilliant. By the end of the course you will walk away with tools and statistical modelling techniques you can implement in your everyday business. Best of all because Eugene is able to explain complex statistical models in plain English you will have an understanding of how to implement these models successfully.

Alix Duncan

Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!

Damon Rasheed

CEO, Rate Detective

Eugene’s Data Science course really opened my eyes to how accessible the latest machine learning tools are. I won’t need to spend months learning a hard-core new discipline, and I can already think of ways to use this at work.

Alain LeBel

Quantitative analyst and software developer, Cooper Investors

I have been very fortunate to be on the R & Data Visualisation course read by Dr. Eugene Dubossarky.

I was thinking of doing computational finance with R—data analysis, statistical modeling, and data visualization for large financial datasets, e.g. quantifying market risk measures—without the heavy lifting in Excel. And I was looking for the most effective introduction to programming in R.

The course exceeded all my expectations, given the breadth and quality of the information provided in Dr. Dubossarky’s presentation. The pace and structure of the course made learning intuitive and comfortable; providing cross-references between different programming languages and R showed the language capability in a familiar way; the elegance and power of R, its ability to facilitate rapid data analysis and visualisation were demonstrated in a number of real-life examples—encouraging us to integrate the course materials into our day-to-day tasks, and continue learning.

What I found also invaluable was his recommendations for numerous online resources, as well as offering his post-course support. All in all, this was the best start I was hoping for. I'd be happy to recommend this course for any corporate environment either in transition or thinking of switching to R.

Elena Nazvanova

I have been trying to convert my Stata programming skills to R, however, there have been many times where I just wanted to sit down with someone and have them explain the fundamentals of programming in R. Sure, a number of books and websites have helped me become familiar with R, however, I still didn’t feel ready to translate all of my familiar Stata commands to R (e.g. I am comfortable plotting graphics using ggplot2, however, revert back to Stata for data manipulation). I knew that a more effective way to learn and feel confident would be to sit down with someone and have them explain how they use R, how they clean data, how they plot graphics, etc. I knew that once I felt comfortable with cleaning my data in R, analysis would be less of an issue—I’m happy to research the specifics on my own.

Thank you, Eugene for advancing my R skills. I especially appreciate the time spent explaining the fundamentals of data manipulation—i.e. the code one needs to know before running any basic or sophisticated analysis. The pace of the workshop was perfect.

Chelsea Wise

Marketing lecturer, UTS Business School

I attended the Predictive Analytics course presented by Eugene Dubossarsky from Presciient in March of 2013 in North Sydney. I am primarily a computer scientist, and have a broad but very shallow knowledge of the area of machine learning and analytics. The course gave me a very good starting point to start gaining a deep knowledge of the topic. The tooling presented gives an excellent place to start learning and is useful beyond the class setting. I think the key value of the course is that it was presented by a domain expert who is passionate about the topic and growing the maturity of the field and so was very open with the sorts of insights that you don’t read in a text book. This included the high level concepts within analytics, models of thinking about analytic problems and key lessons from his career implementing predictive analytics. I therefore left the course knowing what I don’t know, and knowing where to start, which is more than I expected. I would recommend it to any computer scientist.

Quinton Anderson

Chief technology officer and lead software engineer, IZAZI Solutions

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