Business Analytics Applied Modelling And Prediction
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Business analytics applied modelling and prediction. Business analytics applied modelling and prediction st2187. Written by a leading expert in the field this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. Predictive analytics is what translates big data into meaningful usable business information.
To provide a complete view of customer interactions data is taken from multiple sources and by using data mining for predictive analytics data is prepared for analysis. It must be admitted that many good. Bsc data science and business analytics.
St2187 business analytics applied modelling and prediction. Critically evaluate and interpret the results of the predictive models and how they can help in solving het business problem. This course develops an understanding of concepts in business analytics and data manipulation.
James abdey invited lecturer. Prescriptive analytics use a combination of techniques and tools such as business rules algorithms machine learning and computational modelling procedures. If taken as part of a bsc degree the following courses must be passed before this course may be attempted.
Identify the proper predictive modelling techniques to solve the business problem. Understand and apply predictive modelling techniques. This is because consumers are an integral part of the success and growth story of any brand.
St2187 business analytics applied modelling and prediction general information course level. 300 hours summary people in business economics and the social sciences are increasingly aware of the need to be able to handle a range of mathematical and statistical models. For example consider a retailer looking to reduce customer churn.
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