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Certificate
Course Outline
Getting Started with KNIME
- Overview of the KNIME Analytics Platform
- Installation
-
Programming via the Graphical User Interface
- Understanding Workflows
- Working with Nodes
- Importing Workflows
Data Access
- Reading Data from Text Files
- Database Connectivity
- Accessing External REST Services
- Generating Artificial Data
Visualization
- General Data Visualization
- JavaScript-Driven Visualization
- Utilizing Data Views
- Highlighting Techniques
- Creating Graphics via R
- ETL Processes and Data Manipulation
Data Filtering
- Data Aggregation Techniques
- Concatenation and Join Operations
- Data Transformation Methods
- Cleaning Up Workflows
- Handling Datetime Data
- Performing In-Database Processing
Data Mining
- Overview of the Process
- Training and Applying Decision Trees
- Model Scoring
- Working with PMML
- K-Means Clustering
- Building Recommendation Engines
- Additional Available Models
Reporting
- Report Generation Overview
- Integrating BIRT
- Utilizing the KNIME WebPortal
Conclusion
Requirements
A fundamental ability to interpret and make sense of data.
21 Hours
Testimonials (3)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
LEARNING A NEW TOOL
MARIA ELENA DOMINGUEZ ESCUDERO - Reckitt Benckizer
Course - KNIME Analytics Platform for BI
Machine Translated
The capability of the tool
Gerardo Avila - Reckitt Benckizer
Course - KNIME Analytics Platform for BI
Machine Translated