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Course Outline

Getting Started with KNIME

  • Overview of the KNIME Analytics Platform
  • Installation
  • Programming via the Graphical User Interface
    • Understanding Workflows
    • Working with Nodes
    • Importing Workflows

Data Access

  • Reading Data from Text Files
  • Database Connectivity
  • Accessing External REST Services
  • Generating Artificial Data

Visualization

  • General Data Visualization
  • JavaScript-Driven Visualization
  • Utilizing Data Views
  • Highlighting Techniques
  • Creating Graphics via R
  • ETL Processes and Data Manipulation

Data Filtering

  • Data Aggregation Techniques
  • Concatenation and Join Operations
  • Data Transformation Methods
  • Cleaning Up Workflows
  • Handling Datetime Data
  • Performing In-Database Processing

Data Mining

  • Overview of the Process
  • Training and Applying Decision Trees
  • Model Scoring
  • Working with PMML
  • K-Means Clustering
  • Building Recommendation Engines
  • Additional Available Models

Reporting

  • Report Generation Overview
  • Integrating BIRT
  • Utilizing the KNIME WebPortal

Conclusion

Requirements

A fundamental ability to interpret and make sense of data.

 21 Hours

Number of participants


Price per participant

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