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Course Outline
- Introduction to data processing and analysis
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Basic information about the KNIME platform
- installation and configuration
- interface overview
- Platform overview with respect to tool integration
- Getting started: Creating workflows
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Methodology for business modelling and data processing processes
- documentation
- import and export methods for processes
- Overview of basic nodes
- Overview of ETL processes
- Data mining methods
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Data import methodologies
- importing data from files
- importing data from relational databases using SQL
- writing SQL queries
- Overview of advanced nodes
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Data analysis
- preparing data for analysis
- data quality and validation
- statistical data analysis
- data modelling
- Introduction to using variables and loops
- Building advanced, automated processes
- Visualisation of results
- Open and free data sources
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Data Mining basics
- Overview of selected types of Data Mining tasks and processes
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Knowledge discovery from data
- Web Mining
- SNA – Social Network Analysis
- Text Mining – document analysis
- data visualisation on maps
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Integration of other tools with KNIME
- R
- Java
- Python
- Gephi
- Neo4j
- Report building
- 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.
Price per private group, online live training, starting from 6500 € + VAT*
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Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
