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Certificate
Duration 21 hours
Course Outline
Day 1:
Module 1: KNIME Analytics Platform: Overview
- Installation
- Launching and customizing KNIME Analytics Platform
- Understanding nodes, data, and workflows
- The data science cycle
Module 2: Data Access
- Reading data from files
- Interacting with REST Services
Module 3: ETL and Data Manipulation
- Filtering rows and columns
- Using aggregators
- Joining and concatenating datasets
- Transformations: Conversion, Replacement, Standardization, and Feature Generation
- Preparing data for Time Series Analysis
Day 2:
Module 4: Exporting Data
- 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 using KNIME
- Core data mining concepts
- Regressions
- Decision Tree family of algorithms
- Model evaluation
Day 3:
Module 7: Controlling the Flow
- Workflow parameterization using Flow Variables
- Re-executing workflow parts via Loops
- Optimizing and cleaning up your workflow
Module 8: Hands-on KNIME Analytics Platform Case Study
Requirements
Recommended
- A fundamental understanding of interpreting and deriving meaning from data.
- Familiarity with basic data processing concepts.
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.
