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Certificate
Course Outline
Getting Started with KNIME
- Overview of the KNIME Analytics Platform
- Installation procedures
-
Programming via the Graphical User Interface
- Understanding Workflows
- Working with Nodes
- Importing Workflows
Accessing Data
- Reading Data from Text Files
- Connecting to Databases
- Interfacing with External REST Services
- Generating Artificial Data
Visualization Techniques
- General Data Visualization
- JavaScript-Based Visualizations
- Data View Configuration
- Highlighting Key Data Points
- Creating Graphics via R
- ETL Processes and Data Manipulation
Filtering Data
- Data Aggregation Techniques
- Concatenation and Joining Data
- Data Transformation Methods
- Cleaning Up Workflows
- Manipulating Date and Time Data
- Processing Data Directly in the Database
Data Mining Strategies
- Overview of Mining Processes
- Training and Applying Decision Trees
- Scoring Models for Performance
- Using PMML Standards
- Implementing K-Means Clustering
- Building Recommendation Engines
- Exploring Other Available Models
Reporting Capabilities
- Report Generation Overview
- Integrating with BIRT
- Utilizing the KNIME WebPortal
Conclusion
Requirements
Foundational ability to interpret and make sense of data.
21 Hours
Testimonials (1)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
