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The Analytics Institute offers training to our Corporate and SME member organisations at discounted rates. These programmes are developed and delivered by our Associate Faculty (drawn from leading academic institutions) and by our partner training organisations.

Analytics Institute TrainingWe offer our own training programmes and programmes with partner organisations such as Independent Colleges, NUIG and the Analytics Store. Each of our programmes can be customised to meet the specific requirements of organisations and can be delivered in company or in a classroom setting. Training rates are discounted to member organisations. Some of the programmes available to member organisations are listed below. If are interested in any of these programmes for your organisation, or if you have specific training requirements you would like to discuss with us for your organisation,  please complete the ‘Register Interest’ form or contact us at info@analyticsinstitute.org

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Segmentation and Predictive Modelling with R

This course will teach the learner how to use R to develop segmentation and prediction models using key data mining and statistical techniques.



Introduction to Web Mining

Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Web mining is used to better understand customer behaviour. Making use of automated apparatuses to extricate data from servers and web2 reports, it permits organizations to get to both organised and unstructured information from browser activities, server logs, website and link structure, page content and different sources.


Introduction to Text Mining

Text mining is the analysis of data contained in natural language text. The purpose of Text Mining is to process unstructured information, extract meaningful numeric indices from the text, and, thus, make the information contained in the text accessible to the various data mining algorithms. While text analytics is an emerging field, applying advanced analytics technique to text data is a powerful means to uncover information concealed in document collections.


Introduction to Data Mining

Data Mining is the process of discovering patterns in large data sets using techniques which involve machine learning, statistics and databases systems. It is an essential process where intelligent methods are applied to extract data patterns. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.


Introduction to Statistical Analysis using R

This course will introduce the participants to R and teach them how to carry out both descriptive and inferential statistics using R structure for further use. (more…)