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Course Outline

Day 1:

Module 1: KNIME Analytics Platform: Overview

  • Installation.
  • Starting and customizing KNIME Analytics Platform.
  • Nodes, data, and workflows.
  • The data science cycle.

Module 2: Data Access

  • Reading data from files.
  • Accessing REST Services.

Module 3: ETL and Data Manipulation

  • Row and column filtering.
  • Aggregators.
  • Join and concatenation.
  • Transformation: Conversion, Replacement, Standardization, and New Feature Generation.
  • Data preparation for Time Series Analysis.

Day 2:

Module 4: Exporting Data

  • Writing to a file.
  • Generating a report.

Module 5: Data Visualization

  • Interactive univariate visual exploration.
  • Interactive multivariate visual exploration.
  • Advanced visualization features.

Module 6: Predictive Analytics using KNIME

  • Basic concepts of data mining.
  • Regressions.
  • 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 based Case Study

Requirements

Recommended

  • A fundamental understanding of interpreting data.
  • Experience with basic data processing.

Audience

  • Data analysts.
  • Data scientists.
  • Business analysts.
 21 Hours

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