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The Art of Building Data Mining Models
The Art of Building Data Mining Models
Duration: 3 Days
Overview:
Advanced analytics have revolutionized how businesses understand how their customers behave. From fraud detection to customer insight, companies are building models to answer questions such as to whom should we offer credit, which transactions should be investigated for fraud, or what is the long term value of a customer?
This course explores, in detail, the full model building process from the planning stages to model implementation.
The main emphasis of the course is on the processes and techniques involved in building models taking the practical restraints of everyday business into account.
At Course Completion:
After attending this course you will have gained an understanding of the whole modeling process and you will have the necessary knowledge to be build predictive models.
Who Should Attend:
This course is aimed at people with a statistical, mathematical or other suitably technical background who wish to move into modeling.
Prerequisites:
Understanding of basic statistics.
Outline:
- Initial data analysis
- Metric creation
- Modeling techniques
- Model testing and validation
- Model implementation
- Ongoing model validation
About The Analytics Store
The mission of The Analytics Store is to help businesses to transform data into actionable insights. We strive to work with companies to use Advanced Analytics to drive intelligent business decisioning.
Through our training and consultancy The Analytics Store works with customers to improve the consistency of their decision making, using targeted analytics to enable decisions based on quantified costs, benefits and risks.
At The Analytics Store our experience covers a wide range of Statistical and Data Mining application areas with particular expertise in Risk Analytics, Fraud Analytics, Customer Insight Analytics and Quality Control.
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