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Course Outline

Introduction

Getting Started with KNIME for Government

  • Overview of KNIME
  • KNIME Analytics for Government Applications
  • KNIME Server for Enhanced Collaboration and Management

Machine Learning for Government

  • Computational Learning Theory in Public Sector Contexts
  • Computer Algorithms for Data-Driven Decision Making

Preparing the Development Environment for Government Use

  • Installing and Configuring KNIME for Secure and Efficient Operations

KNIME Nodes for Government Workflows

  • Adding Nodes to Enhance Data Processing Capabilities
  • Accessing and Reading Data from Various Sources
  • Merging, Splitting, and Filtering Data to Meet Specific Needs
  • Grouping and Pivoting Data for Better Insights
  • Cleaning Data to Ensure Accuracy and Reliability

Modeling for Government Applications

  • Creating Workflows to Streamline Data Analysis Processes
  • Importing Data from Diverse Government Systems
  • Preparing Data for Comprehensive Analysis
  • Visualizing Data to Facilitate Informed Decision Making
  • Creating a Decision Tree Model for Predictive Analytics
  • Working with Regression Models to Forecast Trends
  • Predicting Data Outcomes for Strategic Planning
  • Comparing and Matching Data to Ensure Consistency

Learning Techniques for Government Analysts

  • Utilizing Random Forest Techniques for Enhanced Accuracy
  • Applying Polynomial Regression for Complex Data Relationships
  • Assigning Classes to Categorize and Classify Data
  • Evaluating Models to Ensure Reliability and Validity

Summary and Conclusion for Government Users

Requirements

  • Experience with Python
  • Experience with R

Audience

  • Data Scientists for government
 14 Hours

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Price per participant

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