Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Certificate
Course Outline
Day 1:
Module 1: Overview of KNIME Analytics Platform
- Installation
- Launching and customizing KNIME Analytics Platform
- Nodes, data, and workflows
- The data science cycle
Module 2: Data Access
- Reading Data from Files
- Accessing REST Services
Module 3: ETL and Data Manipulation
- Row & Column filtering
- Aggregators
- Join & Concatenation
- Transformation: Conversion, Replacement, Standardization, and New Feature Generation
- Data Preparation for Time Series Analysis
Day 2:
Module 4: Exporting Data
- Writing to a File
- Report Generation
Module 5: Data Visualization
- Interactive Univariate Visual Exploration
- Interactive Multivariate Visual Exploration
-
Advanced Visualization Features
Module 6: Predictive Analytics using KNIME
- Basic Concepts of Data Mining
- Regressions
- Decision Tree Family
- Model Evaluation
Day 3:
Module 7: Flow Control
- Workflow Parameterization: Flow Variables
- Re-executing Workflow Parts: Loops
- Workflow Cleanup
Module 8: Hands-on Case Study based on KNIME Analytics Platform
Requirements
Recommended
- A basic understanding of interpreting data.
- Experience with fundamental data processing.
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.
