Predictive Analytics for Business – with Case Studies
Learn how to create important business insights through Predictive Analytics.
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
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!
Introduction
1
Introduction
2
Common Business Applications of Predictive Analytics
3
The Process - CRISP-DM Model
4
Data Types, Sources and Structure
Modeling Methods - Supervised
1
Modeling Methods - Prediction - Linear Regression
2
Case Study - Excel - Linear Regression
3
Modeling Methods - Classification - Logistic Regression
4
B2B Churn Case Study - Background and Dataset
5
Introduction to Rapidminer Software
6
Case Study - Rapidminer - B2B Churn
7
Modeling Methods - Classification - Decision Trees
8
Direct Marketing Case Study - Background and Dataset
9
Case Study - Rapidminer - Direct Marketing
Modeling Methods - Unsupervised
1
Modeling Methods - Unsupervised - Clustering
2
Customer Segmentation Case Study - Background and Dataset
3
Case Study - Rapidminer - Customer Segmentation
4
Modeling Methods - Unsupervised - Association Rules
5
Market Basket Case Study - Background and Dataset
6
Case Study - Rapidminer - Market Basket Analysis
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