Predictive Analytics for Business - with Case Studies
- 3.5
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Brief Introduction
Learn how to create important business insights through Predictive Analytics.Description
This is an introductory course designed to help business professionals and others learn predictive analytic skills that can be applied in a business setting. Since it is designed for business professionals it doesn't delve too deeply into the mathematics of the statistical models. We do the following case studies on Rapidminer software: B2B Churn of an office supply distributor, Market Basket Analysis of a retail computer store, Customer Segmentation of a customer database and Direct Marketing. The following models are used: Linear Regression, Logistic Regression, Association Rules, K-means Clustering and Decision Trees. Through these practical case studies we generate actionable business insights!
Requirements
- Requirements
- Basic Computer and Business Skills
- We will be using Rapidminer software for our case studies but advanced preparation is not necessary
John Phillips
3.5 Raiting
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