Platforma analityczna KNIME - szkolenie kompleksowe

Analytical thinking approach.

Basics of statistics and mathematical analysis.

KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.

Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.

• Introduction to data processing and data analysis
• Fundamental information of KNIME platform
• Installation and configuration
• Overview of the interface
• Discussion of tool integration
• Building workflows
• Methodology of creating business models and data modeling
• Documentation
• import and export workflows
• Basic nodes
• Design ETL processes
• Data mining
• Data Import
• from files
• from relational databases using SQL
• creating SQL queries
• Advanced nodes
• Data analysis:
• data preparation
• data check-up
• statistical data examination
• data modeling
• Introduction to Flow Variables and Loops
• Advanced process automation
• Visualization Features
• Open source data sources
• Data mining basics
• selected types of Data Mining tasks and processes
• Getting more knowledge from data
• Web Mining
• SNA
• Text Mining
• Data visualization on graphs
• Install Extensions and Integrations
• R
• Java
• Python
• Gephi
• Neo4j
• Reporting
• Overview
• BIRT Integration
• KNIME WebPortal
• Conclusion and Q&A session