Predictive Analytics for Business - with Case Studies
4.1 (57 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
209 students enrolled

Predictive Analytics for Business - with Case Studies

Learn how to create important business insights through Predictive Analytics.
4.1 (57 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
209 students enrolled
Created by John Phillips
Last updated 11/2017
English
Current price: $20.99 Original price: $29.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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
Requirements
  • Basic Computer and Business Skills
  • We will be using Rapidminer software for our case studies but advanced preparation is not necessary
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!

Who this course is for:
  • Business Professionals
  • Business Analysts
  • Others who are interested in Predictive Analytics
Course content
Expand all 19 lectures 53:30
+ Introduction
4 lectures 10:30
The Process - CRISP-DM Model
02:42
Data Types, Sources and Structure
02:49
+ Modeling Methods - Supervised
9 lectures 26:59
Modeling Methods - Prediction - Linear Regression
02:01
Case Study - Excel - Linear Regression
02:17
Modeling Methods - Classification - Logistic Regression
02:57
B2B Churn Case Study - Background and Dataset
01:31
Introduction to Rapidminer Software
02:00
Case Study - Rapidminer - B2B Churn
06:26
Modeling Methods - Classification - Decision Trees
01:47
Direct Marketing Case Study - Background and Dataset
01:14
+ Modeling Methods - Unsupervised
6 lectures 16:01
Modeling Methods - Unsupervised - Clustering
01:41
Customer Segmentation Case Study - Background and Dataset
00:49
Case Study - Rapidminer - Customer Segmentation
04:09
Modeling Methods - Unsupervised - Association Rules
02:53
Market Basket Case Study - Background and Dataset
01:17
Case Study - Rapidminer - Market Basket Analysis
05:12