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Certificate
Duration 21 hours
Course Outline
Day 1:
Module 1: KNIME Analytics Platform: Overview
- 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
- Aggregation
- Joining & Concatenation
- Transformations: Conversion, Replacement, Standardization, and Generating New Features
- Preparing Data for Time Series Analysis
Day 2:
Module 4: Exporting Data
- Writing to files
- Report Generation
Module 5: Data Visualization
- Interactive Univariate Visual Exploration
- Interactive Multivariate Visual Exploration
-
Advanced Visualization Features
Module 6: Predictive Analytics using KNIME
- Fundamental Concepts of Data Mining
- Regressions
- Decision Tree Algorithms
- Model Evaluation
Day 3:
Module 7: Controlling the Flow
- Workflow Parameterization: Flow Variables
- Re-executing Workflow Segments: Loops
- Cleaning Up Your Workflow
Module 8: Hands-on Case Study using KNIME Analytics Platform
Requirements
Recommended
- A fundamental understanding of interpreting data.
- 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.
