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|Description||Knowledge Discovery and Datamining (KDD) will enable you to transform large amounts of collected data into knowledge that can drive business decisions. For example, insights into customer behaviour can be used for cross selling opportunities, to improve the customer experience or for targeted marketing campaigns. Our 5 day course will give you a detailed understanding of the KDD process. It will also introduce you to the main datamining techniques used to transform data into knowledge with examples of practical application.|
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|Learning outcomes for participants/users and, where relevant, pupils or students||
At the end of the course, you will have:
There will be practical sessions using commercial datamining software packages illustrating their suitability for different types of project. The course is structured to provide time to discuss potential datamining projects with other delegates and our consultants.
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|How users/participants can evaluate success||The provider has not supplied this information|
|Follow-up activities and support||The provider has not supplied this information|
Why should I do this course?
Customer segmentation, customer profiling, fraud detection, the generation of more accurate pricing models, targeted marketing campaigns, the discovery of cross-selling opportunities, improved customer service: those are all activities which are becoming crucial for competitive advantage in the financial service sector. Data is the wealth of a company and can inform and drive all of those activities but only those that learn to exploit it well will be the market leaders. This course will help you to understand the opportunities and will also give you a good grounding on some of the leading technology.
The course aims to deliver an introduction to data mining techniques. It will present the process of KDD and will give a review of available tools. The course will then cover the main tasks of data mining: clustering and classification and introduce some of the algorithms available. It will also introduce tools available for data cleaning and preprocessing. The concepts will be introduced in the context of application to the Financial Services industry and will include relevant examples and case studies. The course will also serve to highlight further training opportunities.
This course does not have any pre-booked dates available. Please contact the provider directly to arrange this training.