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Certificate
Course Outline
Getting Started with KNIME for Government
- Overview of the KNIME Analytics Platform
- Installation Procedures
-
GUI-Based Programming
- Workflow Development
- Node Management
- Importing Workflows
Data Access for Government
- Reading from a Text File
- Database Connectivity
- External REST Services Integration
- Artificial Data Generation Techniques
Visualization for Government
- Data Visualization Methods
- JavaScript-Based Visualization Tools
- Data View Customization
- Highlighting Techniques
- Graphics Generation Using R
- ETL and Data Manipulation Processes
Data Filtering for Government
- Data Aggregation Strategies
- Concatenation and Join Operations
- Data Transformation Techniques
- Workflow Cleanup Procedures
- Datetime Manipulation Methods
- In-Database Processing Capabilities
Data Mining for Government
- Process Overview for Data Mining
- Training and Applying a Decision Tree Model
- Scoring a Model for Predictive Analysis
- PMML Standards for Model Exchange
- K-Means Clustering Techniques
- Recommendation Engine Development
- Other Available Models and Algorithms
Reporting for Government
- Overview of Reporting Capabilities
- BIRT Integration for Enhanced Reporting
- KNIME WebPortal for Report Distribution
Conclusion for Government
Requirements
An essential skill for government is the ability to interpret and derive meaning from 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
