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Certificate
Course Outline
Getting Started with KNIME
- Overview of KNIME Analytics Platform
- Installation Process
-
GUI-Based Programming
- Understanding Workflows
- Utilizing Nodes
- Importing Workflows
Data Access
- Reading Text Files
- Database Connectivity
- External REST Services
- Generating Synthetic Data
Visualization
- Data Visualization Techniques
- JavaScript-Based Visualization
- Using Data Views
- Highlighting Key Data Points
- Graphics via R Integration
- ETL and Data Manipulation
Data Filtering
- Data Aggregations
- Concatenation and Joining Data
- Data Transformations
- Cleaning Up Workflows
- Handling Datetime Manipulation
- In-Database Processing Techniques
Data Mining
- Process Overview
- Training and Applying Decision Trees
- Scoring Models
- Understanding PMML
- K-Means Clustering
- Building Recommendation Engines
- Exploring Other Available Models
Reporting
- Reporting Overview
- BIRT Integration
- Leveraging the KNIME WebPortal
Conclusion
Requirements
A fundamental ability to interpret and understand 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