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What you will learn

Learn the fundamentals of Data Mining and Predictive Analytics

Selecting the data

Finding the solution

Putting the solution to work

Description

Learn the fundamentals of data mining and predictive analysis through an easy to understand conceptual course. Whether you are brand new to Data Mining or have worked on many project, this course will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.

Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. Learn the steps of a real-world project, from defining the problem to putting the solution into practice.

We will walk through each step of a typical project, from defining the problem and gathering the data and resources, to putting the solution
into practice.


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This course is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.

English
language

Content

Introduction

Welcome
Introduction
Getting started

Fundamentals of Data Mining and Predictive Analytics

What is data mining and predictive analytics
Problem definition

Data Requirements

Footprint and file
Target and selection
Integration and data construction

Resources

Data mining algorithms
Assess team requirements and budget time
Subject matter experts

Problems and Solutions

Problems that may occur
Search the solution space
Unexpected results
Trial and error
Construct proof
Putting the solution to work

CRISP-DM

Understanding CRISP-DM
Nine laws

Conclusion

Conclusion