Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Introduction to data processing and analysis
-
Overview of the KNIME platform
- Installation and configuration
- Interface overview
- Platform overview regarding tool integration
- Getting Started: Creating Workflows
-
Methodology for Business Modelling and Data Processing
- Documentation
- Import and export methods for processes
- Overview of basic nodes
- Overview of ETL processes
- Data Mining Methodologies
-
Data Import Methodology
- Importing data from files
- Importing data from relational databases using SQL
- Creating SQL queries
- Overview of advanced nodes
-
Data Analysis
- Preparing data for analysis
- Data quality and verification
- Statistical data analysis
- Data modelling
- Introduction to using variables and loops
- Building advanced, automated processes
- Visualisation of results
- Public and free data sources
-
Fundamentals of Data Mining
- Overview of selected types of Data Mining tasks and processes
-
Discovering Knowledge from Data
- Web Mining
- SNA – Social Networks
- Text Mining – Document Analysis
- Data visualisation on maps
-
Integration of other tools with KNIME
- R
- Java
- Python
- Gephi
- Neo4j
- Report Generation
- Training Summary
Requirements
Knowledge of the fundamentals of mathematical analysis.
Knowledge of the fundamentals of statistics.
35 Hours
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.
