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Certificate
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
- Connecting to REST Services
Module 3: ETL and Data Manipulation
- Filtering Rows & Columns
- Aggregation techniques
- Joining & Concatenation
- Transformation: Conversion, Replacement, Standardization, and Creating New Features
- Preparing Data for Time Series Analysis
Day 2:
Module 4: Exporting Data
- Writing to a file
- Generating Reports
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
- Regression Analysis
- Decision Tree Family
- Model Evaluation
Day 3:
Module 7: Controlling the flow
- Workflow Parameterization: Flow Variables
- Re-executing Workflow Parts: Loops
- Cleaning up your Workflow
Module 8: Hands-on KNIME Analytics Platform Case Study
Requirements
Recommended
- A fundamental comprehension of interpreting and making sense of data.
- Practical experience with basic data processing techniques.
Target Audience
- Data analysts
- Data scientists
- Business analysts
21 Hours
Testimonials (3)
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Bame Duncan Koko - Bentel Technologies (Pty) Ltd
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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.