KNIME
Master the power of visual data analytics and machine learning with the KNIME Analytics Platform under expert guidance. Enroll in our comprehensive training program tailored specifically to transform raw data into actionable insights through intuitive drag-and-drop workflows and advanced analytical capabilities.
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Corporate Pricing
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Features
What you'll learn
- Implement data cleaning, transformation, and preparation techniques effectively
- Develop automated workflows with error handling and conditional logic flows
- Build and manage data workflows using the KNIME Analytics Platform interface
- Integrate KNIME outputs with business intelligence and reporting platforms
- Connect to diverse data sources including databases, APIs, and file formats
- Create machine learning models for prediction and clustering analysis tasks
- Apply best practices for workflow design, documentation, and maintenance
Why should you attend?
This comprehensive training program provides hands-on experience with the KNIME Analytics Platform, covering everything from basic workflow creation to advanced machine learning implementations. Participants will master the fundamentals of data access, extraction, transformation, and loading processes while building proficiency in the platform's intuitive visual programming interface. The curriculum progresses through essential data preparation techniques, including connecting to various data sources such as databases, APIs, and file formats. Students will learn to clean, transform, and enrich datasets using powerful built-in nodes and functions. Advanced topics include implementing machine learning algorithms, creating predictive models, and developing automated workflows with error handling capabilities. Practical applications are emphasized through real-world case studies and hands-on exercises that demonstrate customer churn prediction, clustering analysis, and recommendation systems. The program also covers integration with popular business intelligence tools and reporting platforms, enabling seamless data pipeline creation from source to visualization. Participants will explore emerging technologies including generative AI integration and learn industry best practices for workflow design and maintenance.
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Why should you attend?
This comprehensive training program provides hands-on experience with the KNIME Analytics Platform, covering everything from basic workflow creation to advanced machine learning implementations. Participants will master the fundamentals of data access, extraction, transformation, and loading processes while building proficiency in the platform's intuitive visual programming interface. The curriculum progresses through essential data preparation techniques, including connecting to various data sources such as databases, APIs, and file formats. Students will learn to clean, transform, and enrich datasets using powerful built-in nodes and functions. Advanced topics include implementing machine learning algorithms, creating predictive models, and developing automated workflows with error handling capabilities. Practical applications are emphasized through real-world case studies and hands-on exercises that demonstrate customer churn prediction, clustering analysis, and recommendation systems. The program also covers integration with popular business intelligence tools and reporting platforms, enabling seamless data pipeline creation from source to visualization. Participants will explore emerging technologies including generative AI integration and learn industry best practices for workflow design and maintenance.
What you'll learn
- Implement data cleaning, transformation, and preparation techniques effectively
- Develop automated workflows with error handling and conditional logic flows
- Build and manage data workflows using the KNIME Analytics Platform interface
- Integrate KNIME outputs with business intelligence and reporting platforms
- Connect to diverse data sources including databases, APIs, and file formats
- Create machine learning models for prediction and clustering analysis tasks
- Apply best practices for workflow design, documentation, and maintenance
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
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