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Course Outline

  1. Introduction to data processing and analysis
  2. Basic information about the KNIME platform
    • installation and configuration
    • interface overview
  3. Platform overview with respect to tool integration
  4. Getting started: Creating workflows
  5. Methodology for business modelling and data processing processes
    • documentation
    • import and export methods for processes
  6. Overview of basic nodes
  7. Overview of ETL processes
  8. Data mining methods
  9. Data import methodologies
    • importing data from files
    • importing data from relational databases using SQL
    • writing SQL queries
  10. Overview of advanced nodes
  11. Data analysis
    • preparing data for analysis
    • data quality and validation
    • statistical data analysis
    • data modelling
  12. Introduction to using variables and loops
  13. Building advanced, automated processes
  14. Visualisation of results
  15. Open and free data sources
  16. Data Mining basics
    • Overview of selected types of Data Mining tasks and processes
  17. Knowledge discovery from data
    • Web Mining
    • SNA – Social Network Analysis
    • Text Mining – document analysis
    • data visualisation on maps
  18. Integration of other tools with KNIME
    • R
    • Java
    • Python
    • Gephi
    • Neo4j
  19. Report building
  20. Training summary

Requirements

Knowledge of the fundamentals of mathematical analysis.

Knowledge of the fundamentals of statistics.

 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6500 € + VAT*

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