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Course Outline

Day 1:

Module 1: KNIME Analytics Platform: Overview

  • Installation procedures for government systems
  • Initiating and customizing the KNIME Analytics Platform environment
  • Understanding nodes, data structures, and workflow architecture
  • The data science lifecycle

Module 2: Data Access

  • Reading data from local files
  • Accessing REST APIs for external data sources

Module 3: ETL and Data Manipulation

  • Filtering rows and columns
  • Data aggregation techniques
  • Joining and concatenating datasets
  • Data transformation: conversion, replacement, standardization, and feature engineering
  • Preparing data for time series analysis within a government context

Day 2:

Module 4: Exporting Data

  • Writing data to files for secure storage
  • Generating official reports and documentation

Module 5: Data Visualization

  • Interactive univariate visual exploration
  • Interactive multivariate visual exploration
  • Advanced visualization capabilities
     

Module 6: Predictive Analytics using KNIME

  • Fundamental concepts of data mining
  • Regression analysis techniques
  • Decision tree algorithms and applications
  • Model evaluation and validation methods

Day 3:

Module 7: Controlling the flow

  • Workflow parameterization using flow variables
  • Re-executing workflow components via loop functions
  • Optimizing and cleaning up workflow configurations

Module 8: Hands on KNIME Analytics Platform based Case Study
 

Requirements

Recommended Qualifications

  • A foundational grasp of interpreting data for government purposes.
  • Demonstrated proficiency in essential data processing methodologies.

Audience

  • data analysts
  • data scientists
  • business analysts
 21 Hours

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