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Certificate
Duration 21 hours
Course Outline
Day 1:
Module 1: KNIME Analytics Platform: Overview
- Installation procedures
- Launching and customizing the KNIME Analytics Platform interface
- Understanding nodes, data structures, and workflows
- The data science lifecycle
Module 2: Data Access
- Reading data from local files
- Connecting to and utilizing REST services
Module 3: ETL and Data Manipulation
- Filtering rows and columns
- Applying aggregators
- Performing joins and concatenations
- Transformations including conversion, replacement, standardization, and new feature generation
- Preparing data for time series analysis
Day 2:
Module 4: Exporting Data
- Writing data to files
- Generating comprehensive reports
Module 5: Data Visualization
- Interactive univariate visual exploration
- Interactive multivariate visual exploration
- Advanced visualization capabilities
Module 6: Predictive Analytics using KNIME
- Fundamental concepts of data mining
- Regression techniques
- Decision tree methodologies
- Model evaluation strategies
Day 3:
Module 7: Flow Control
- Workflow parameterization using flow variables
- Re-executing workflow segments through loops
- Optimizing and cleaning up workflows
Module 8: Hands-on KNIME Analytics Platform Case Study
Requirements
Recommended
- A fundamental understanding of data interpretation.
- Practical experience with basic data processing techniques.
Target Audience
- Data analysts
- Data scientists
- Business analysts
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
