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Business analytics, big data and data science

The human side of analytics capability

Learn from an analytics leader with Dr Eugene Dubossarsky’s highly regarded courses in data science, machine learning and big data.

(Want to know what our students are saying? Check our testimonials page…)

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Predictive analytics, machine learning and data science for big data

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more.

Introduction to Data Science

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more. Note: This is an alternative title for the course “Predictive Analytics, Machine Learning and Data Science for Big Data”.

Kaggle boot camp: Feature engineering and advanced algorithms

This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models. Note: This is an alternative title for the course “Advanced Machine Learning Masterclass”.

Advanced machine learning masterclass

This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models.

Introduction to Machine Learning

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more. Note: This is an alternative title for the course “Predictive Analytics, Machine Learning and Data Science for Big Data”.

Training for all courses will be conducted with Microsoft R Open, the Enhanced Distribution of R. “Predictive Analytics, Machine Learning and Data Science for Big Data” and related courses, along with all advanced courses, will also include use of Azure ML, Microsoft's interactive machine learning platform in the cloud.

Predictive analytics, machine learning and data science for big data

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more.

Advanced machine learning masterclass

This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models.

Introduction to Data Science

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more. Note: This is an alternative title for the course “Predictive Analytics, Machine Learning and Data Science for Big Data”.

Kaggle boot camp: Feature engineering and advanced algorithms

This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models. Note: This is an alternative title for the course “Advanced Machine Learning Masterclass”.

Introduction to Machine Learning

Data science, predictive modelling and big data skills are of vital and growing importance in commercial, government, and not-for-profit contexts, particularly for managers and those in risk, customer and IT functions. Learn the fundamentals of predictive modelling, including coverage of generalised linear models, support vector machines, decision trees, tree boosting machines and neural networks. This course also covers a range of other key data mining tools including principal components analysis, cluster analysis, and more. Note: This is an alternative title for the course “Predictive Analytics, Machine Learning and Data Science for Big Data”.

Training for all courses will be conducted with Microsoft R Open, the Enhanced Distribution of R. “Predictive Analytics, Machine Learning and Data Science for Big Data” and related courses, along with all advanced courses, will also include use of Azure ML, Microsoft's interactive machine learning platform in the cloud.

Contact us today for more information.

Contact us today

Here’s what students are saying about our courses

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)

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

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!

Alix Duncan

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

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 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

Training

Presciient regularly runs courses in R and a range of data analytical disciplines in major Australian and Asian cities. Check the links below for a full list of dates and courses currently available in each city, and reserve your place today with our convenient online booking facility.

Courses are conducted by Presciient director Dr Eugene Dubossarsky, a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the head of the Sydney Data Science group (2,000+ members), the Sydney Users of R Forum (1,500+ members), and Datapreneurs (400+ 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. Dr Dubossarsky 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.

Business analytics consulting

Presciient consults on how to make better decisions, recognising that all decision making involves forecasting.

Our process involves using sophisticated techniques to measure, assess, and manage forecasts and the decisions that arise from them. We call this Decision Performance Management.

An integral part of this is Forecasting Performance Management. We advise on better forecasting methods, based on both statistics and human judgement, and on their implications for organisational structure and incentives. We consult on knowledge management as it pertains to forecasting.

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 head of the Sydney Data Science group (2,000+ members), the Sydney Users of R Forum (1,500+ members), and Datapreneurs (400+ 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.

The human side of data

Presciient specialises in the human side of business analytics, data science and big data. We provide services to build effective, valuable and recognised analytics capability within organisations large and small.

We assist our clients by training and mentoring their analytics teams, coaching executives in analytics management and value, and providing strategic advice in establishing and utilising analytics.

We also perform data analysis and implementation project for select clients.

We also conduct regular public training in various aspects of analytics, including predictive modelling, forecasting, forensics, fraud detection and security, visualisation and big data in Australia and Singapore.

Learn how you can build your analytics capability.

Contact us today
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