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Data Mining

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About this learning path

Data Mining

Data Mining comes from the learning path of Data Analysis & Information Technology Management & Computational Statistics . The learning path of Data Mining integrates concepts of Supervised Learning & Unsupervised Learning which you should dive into.
The Data Mining path can be specialized into Text Mining & Business Analytics & Dimensionality Reduction .

Part of this learning path

Supervised Learning

Unsupervised Learning

Web resources
Start immediately and learn at your own pace.

Flexible schedule
Set and adhere to flexible deadlines.

Approx. 3 months to complete
Recommended 12 hours/week

Mostly English

Curator

There is no curator for
Data Mining yet!

This How it Works

You work from module to module. In each module you'll find resources containing:

1. Information

2. Educational content

3. Places to exchange infos

4. Applications, Tools

( 5. Entertaining content )

After studying a resource, you check it.

Learning Path

Module

1

»

Statistical classification

»

Cluster Analysis

 

Guide to data mining Textbook

Module

2

»

Bias-variance tradeoff

»

K means clustering Method

»

Curse of dimensionality

 

Scikit-Learn Software libray

Module

3

»

Principal component analysis Technique

»

Decision tree

»

Association rule learning

 

Data Science For Business, What You Need to Know about Data Mining Non-fictional

Module

4

»

Data Mining with Weka

»

Data Mining Concepts and Techniques Non-fictional

»

Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional

 

Weko 3