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 (8)
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
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
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course - Data Mining & Machine Learning with R
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.
Anna - Birmingham City University
Course - Foundation R
Very useful in because it helps me understand what we can do with the data in our context. It will also help me