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Certificate
Duration 21 hours
Course Outline
Day 1:
Module 1: KNIME Analytics Platform: Introduction
- Installation
- Launching and customizing the KNIME Analytics Platform
- Nodes, data, and workflows
- The data science cycle
Module 2: Data Access
- Reading Data from files
- Connecting to REST Services
Module 3: ETL and Data Manipulation
- Filtering Rows & Columns
- Aggregators
- Join & Concatenation
- Transformation: Conversion, Replacement, Standardization, and New Feature Generation
- Preparing Data for Time Series Analysis
Day 2:
Module 4: Data Export
- Writing to files
- Report Generation
Module 5: Data Visualization
- Interactive Univariate Visual Exploration
- Interactive Multivariate Visual Exploration
-
Advanced Visualization Features
Module 6: Predictive Analytics with KNIME
- Core Data Mining Concepts
- Regressions
- Decision Tree Family
- Model Evaluation
Day 3:
Module 7: Flow Control
- Workflow Parameterization: Flow Variables
- Re-executing Workflow Segments: Loops
- Tidying Up Your Workflow
Module 8: Practical Case Study on the KNIME Analytics Platform
Requirements
Recommended
- A foundational understanding of data interpretation.
- 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.
