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Certificate
Course Outline
Day 1:
Module 1: Overview of KNIME Analytics Platform
- Installation process
- Launching and customizing the KNIME Analytics Platform
- Nodes, data structures, and workflows
- The data science lifecycle
Module 2: Data Access
- Loading data from files
- Integrating with REST services
Module 3: ETL and Data Manipulation
- Filtering by row & column
- Using aggregators
- Joining & concatenating data
- Transformations: Conversion, replacement, standardization, and generating new features
- Preparing data for time series analysis
Day 2:
Module 4: Data Export
- Writing data to files
- Generating reports
Module 5: Data Visualization
- Interactive univariate visual exploration
- Interactive multivariate visual exploration
-
Advanced visualization features
Module 6: Predictive Analytics with KNIME
- Fundamental concepts in data mining
- Regression analysis
- Decision Tree family
- Model evaluation
Day 3:
Module 7: Flow Control
- Workflow parameterization: Flow variables
- Re-executing workflow components: Loops
- Optimizing and cleaning up workflows
Module 8: Hands-on KNIME Analytics Platform Case Study
Requirements
Recommended
- A foundational understanding of data interpretation.
- Experience with basic data processing techniques.
Target Audience
- Data analysts
- Data scientists
- Business analysts
21 Hours
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.
