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 Duration 35 hours

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.

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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