Course Outline

  • Introduction to Data Processing and Analysis for Government
  • Fundamental Information of the KNIME Platform
  • Installation and Configuration
  • Overview of the Interface
  • Discussion of Tool Integration for Government
  • Building Workflows for Government
  • Methodology of Creating Business Models and Data Modeling for Government
  • Documentation for Government
  • Import and Export Workflows for Government
  • Basic Nodes for Government
  • Design ETL Processes for Government
  • Data Mining for Government
  • Data Import for Government
  • from Files for Government
  • from Relational Databases Using SQL for Government
  • Creating SQL Queries for Government
  • Advanced Nodes for Government
  • Data Analysis for Government
  • Data Preparation for Government
  • Data Check-up for Government
  • Statistical Data Examination for Government
  • Data Modeling for Government
  • Introduction to Flow Variables and Loops for Government
  • Advanced Process Automation for Government
  • Visualization Features for Government
  • Open Source Data Sources for Government
  • Data Mining Basics for Government
  • Selected Types of Data Mining Tasks and Processes for Government
  • Getting More Knowledge from Data for Government
  • Web Mining for Government
  • Social Network Analysis (SNA) for Government
  • Text Mining for Government
  • Data Visualization on Graphs for Government
  • Install Extensions and Integrations for Government
  • R for Government
  • Java for Government
  • Python for Government
  • Gephi for Government
  • Neo4j for Government
  • Reporting for Government
  • Overview for Government
  • BIRT Integration for Government
  • KNIME WebPortal for Government
  • Conclusion and Q&A Session for Government

Requirements

Analytical thinking methodology.

Fundamentals of statistics and mathematical analysis for government.

 35 Hours

Number of participants


Price per participant

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