Events

This series is designed as short, very intensive, highly focused seminars. Tailored for experienced professionals in analytics, each seminar will be lead by internationally recognised experts in their fields. While many analytics tasks have become standardised to the point of near automation, there are still many problems that require bespoke, creative solutions.  Assuming your working knowledge of analytics concepts and technologies, our experts will use concise explanations, real-world examples and live demonstrations to give you deep technical knowledge of each area in a condensed time frame.

Network analysis is not a new topic, but the digitisation of so many daily business, organisational, and personal activities as well as the migration of so much communication to online platforms makes analysis of data networks more important now than ever before. Insights about fraudsters, customers, influencers, products and competitors that cannot be uncovered using other analysis techniques can be illuminated through network analysis. Through real world examples, discussions, and live code demonstrations this one-day workshop designed for analytics professionals introduces the most important network analysis techniques that can be used in data analytics applications.

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Recent developments in machine learning approaches, collectively referred to as deep learning, are responsible for the large performance gains made in the last decade in tasks such as voice recognition, image and video classification, and forcasting. Deep learning refers to a relatively recent set of generative machine learning techniques that autonomously generate high-level representations from raw data sources, and using these representations perform machine learning tasks such as classification, regression, and clustering.  Through real world examples, discussions, and live code demonstrations this one-day workshop designed for analytics professionals introduces the most important deep learning techniques for supervised and unsupervised machine learning tasks.

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An enormous amount of the data that we create in our personal and professional lives is unstructured free text data. Too often, the potential of text data lies untapped as it is more difficult to analyse than more accessible tabular data. The term natural language processing (NLP) refers to a set of tools and techniques that can be used to unlock insight in text data. Through real world examples, discussions, and live code demonstrations this one-day workshop designed for analytics professionals introduces the most important natural language processing techniques.

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While many machine learning tasks, such as propensity modelling, have become standardised to the point of near automation, detecting anomalies in large complex datasets remains a fundamental challenge often requiring bespoke, creative solutions. There are however a core set of techniques and patterns that can be built upon for anomaly detection problems in domains such as fraud detection, risk identification, and classification of rare events. Through real world examples, discussions, and live code demonstrations this one-day workshop designed for analytics professionals introduces the most important natural language processing techniques.

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