Predictive Analytics for Business - with Case Studies

Predictive Analytics for Business - with Case Studies

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!

Learn how to create important business insights through Predictive Analytics.

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What you will learn

• Learn Predictive Analytics for Business
• Learn the various applications of Predictive Analytics in business
• Apply Predictive Analytics in business through the following cases studies: B2B Churn, Customer Segmentation, Direct Marketing, Market Basket Analysis

Rating: 4.5

Level: Beginner Level

Duration: 1 hour

Instructor: John Phillips