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Certificate
Duration 21 hours
Course Outline
Day 1:
Module 1: Introduction to KNIME Analytics Platform
- Installation process
- Launching and personalizing KNIME Analytics Platform
- Understanding Nodes, data, and workflows
- The data science lifecycle
Module 2: Data Acquisition
- Importing Data from files
- Interacting with REST Services
Module 3: ETL and Data Processing
- Filtering Rows & Columns
- Using Aggregators
- Joining & Concatenating data
- Transformations: Conversion, Replacement, Standardization, and Feature Creation
- Preparing Data for Time Series Analysis
Day 2:
Module 4: Data Export
- Saving to a file
- Creating a Report
Module 5: Visualizing Data
- Interactive Univariate Visual Analysis
- Interactive Multivariate Visual Analysis
-
Advanced Visualization Capabilities
Module 6: Predictive Analytics with KNIME
- Foundational Data Mining Concepts
- Regression Analysis
- Decision Tree Algorithms
- Assessing Model Performance
Day 3:
Module 7: Workflow Management
- Workflow Parameterization: Using Flow Variables
- Re-running Workflow Segments: Loops
- Optimizing Workflow Structure
Module 8: Practical Case Study using KNIME Analytics Platform
Requirements
Recommendations
- A foundational ability to interpret and derive meaning from data.
- Familiarity with core data processing concepts.
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.
