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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

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