Course Outline
Introduction
Data Mining Overview
- Crisp-DM
- Algorithms for data mining
- Data mining structures and models
Preparing the Development Environment
- Installing and configuring Excel
Data Mining Algorithms and Excel to SQL Server Analysis Services
- Using Microsoft algorithms
- Working with data mining structures and models
Data Mining Add-Ins
- Working with data modeling
- Identifying influencers and categories
- Predicting with a model
Summary and Conclusion
Requirements
- A basic understanding of Excel
Audience
- Data Scientists
Testimonials (5)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
Course - Process Mining
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
The example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course - Data Science for Big Data Analytics
I thought that the information was interesting.