The Analytics Institute offers training in Data Analytics and Artificial Intelligence. These programmes are developed and delivered by our Associate Faculty (made up of leading professional practitioners) and in conjunction with our partner training organisations.
This 8 Module Programme is designed to give the non-technical manager a full understanding of the world of Data Analytics and Artificial Intelligence and the knowledge and skills to understand how to apply them effectively in a business context. It provides a tool-set to frame data problems in a business context, articulate business value, understand the organisation’s information supply chain, communicate and collaborate with data experts and teams. The syllabus has been designed by Analytics Institute experts.
Executives who whose role involves data-driven decision making.
The programme is classroom based and is delivered in 8 x 2.5 hour modules – one evening module each week.
The programme will be starting in late January 2019. Book now to reserve your place.
This course will teach the learner how to use R to develop segmentation and prediction models using key data mining and statistical techniques.
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.
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.
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.