Courses in R, business analytics and big data – Presciient

All courses

Presciient regularly runs courses in R and a range of data analytical disciplines in major Australian cities.

You can view comprehensive outlines of all courses by visiting the links below.

If you would like to attend a course not running in your city in the near future, please contact us to discuss how we can deliver the relevant training.

Our courses

Predictive analytics 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, gradient 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.
Click here for more details…

Advanced machine learning masterclass

This course is for experienced machine-learning practitioners who are seeking to improve their skills and understanding of the field and to develop proficiency in building more accurate, efficient, and robust models. The aim of the course is to connect deeper theory to practice, so you can create faster, more accurate and appropriate models, and make more effective use of related techniques. The course will cover advanced machine learning tools such as bagging, Lasso, elastic net, randomForest, gradient boosting, neural networks, and deep learning, giving students hands-on experience in using them.
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Introduction to R and data visualisation

R is the world’s most popular data mining and statistics package. It’s also free, and easy to use, with a range of intuitive graphical interfaces. This two-day course will introduce you to the R programming language, teaching you to create functions and customise code so you can manipulate data and begin to use R self-sufficiently in your work. Click here for more details…

Advanced R

This course is for R users, already applying the tool in real-world applications, who are looking for more efficient and powerful ways to: manipulate data and automate their analysis and research, develop R applications, speed up their R application, and make use of wider memory stores. It introduces attendees to a range of methods for advanced data processing, speeding up R code, scaling R to hard disk memory, and advanced programming. Click here for more details…

Introduction to data analysis for absolute beginners

This course introduces core concepts and skills in data analysis to those who are absolute beginners in the area. It is accessible for those with no experience of programming, no mathematics since high school, and no experience or training in data analysis. It combines basic theoretical and practical components, presented in a gentle, accessible way. The focus is on intuition, simple language, pictures, and experience—rather than formulas, mathematical jargon, and rote learning.
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Forecasting and trend analysis fundamentals

Learn forecasting techniques essential to decision-making and planning at strategic, tactical and operational levels. Covers a range of forecasting tools and time series analysis techniques, along with collective forecasting. Know how to assess forecasts, manage forecasting teams, models, methods and processes, and understand the strengths and weaknesses of the techniques available.
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Statistics and data analysis fundamentals

Effective analysis and interpretation of data for today’s knowledge economy requires basic fluency in statistics. This course gives a gentle, intuitive introduction to the subject using Excel and R to teach key concepts and visualisation methods. Learn the practical skills to apply core statistical concepts while working with data.
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Data analytics for fraud and anomaly detection, security and forensics

This course introduces attendees to a range of data analysis methods for the detection of fraud, abuse and suspicious behaviour. It provides key concepts and hands on practice with a range of readily available and free tools, including Microsoft Excel and R, a powerful open source data analysis tool. Suitable for all practitioners in fraud detection, law enforcement, security, compliance, insurance, audit and the finance function who are seeking an introduction and hands-on experience with data analysis techniques. Click here for more details…

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