KNIME

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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
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Course Content

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 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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