Course Outline

Introduction

Overview of Data Mining Concepts

Data Mining Techniques

Finding Association Rules

Matching Entities

Analyzing Networks

Analyzing the Sentiment of Text

Recognizing Named Entities

Implementing Text Summarization

Generating Topic Models

Detecting Data Anomalies

Best Practices

Summary and Conclusion

Requirements

  • An understanding of Python programming.
  • An understanding of Python libraries in general.

Audience

  • Data analysts
  • Data scientists
  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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