KNIME
About Course
KNIME Analytics Platform — Complete Course Structure
Section 1: Getting Started with KNIME
- Lesson 1.1: What is KNIME? Introduction & Use Cases
- Lesson 1.2: Installing KNIME Analytics Platform
- Lesson 1.3: Navigating the KNIME Interface
Section 2: Core Concepts
- Lesson 2.1: Understanding Nodes & Workflows
- Lesson 2.2: Data I/O – Reading & Writing Files
- Lesson 2.3: Data Manipulation with KNIME
Section 3: Data Wrangling & Transformation
- Lesson 3.1: Filtering & Sorting Data
- Lesson 3.2: Joining & Merging Tables
- Lesson 3.3: Handling Missing Values
Section 4: Data Visualization
- Lesson 4.1: Built-in Charts & Plots
- Lesson 4.2: Interactive Views & Dashboards
Section 5: Machine Learning with KNIME
- Lesson 5.1: Introduction to ML in KNIME
- Lesson 5.2: Building a Classification Model
- Lesson 5.3: Evaluating Model Performance
Section 6: Real-World Projects
- Lesson 6.1: End-to-End Data Analysis Project
- Lesson 6.2: Automating Workflows & Scheduling
Course Content
Section 1: Getting Started with KNIME
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Lesson 1.1 – What is KNIME? Introduction & Use Cases
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Lesson 1.2 – Installing KNIME Analytics Platform
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Lesson 1.3 – Navigating the KNIME Interface
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Section 1 Quiz — Getting Started with KNIME
Section 2 · Core Concepts
Section 3: Data Wrangling & Transformation
Section 4 · Data Visualisation
Section 5: Machine Learning with KNIME
Section 6: Real-World Projects
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