Course Outline

Introduction

Overview of Data Cleaning for Government

  • Why is Data Cleaning Important for Government?

Case Study: When Big Data Is Dirty in Public Sector Operations

Developing a Thorough Data Cleaning Strategy for Government

Common Data Cleaning Tools for Government Use

  • Drake
  • OpenRefine
  • Pandas (for Python)
  • Dplyr (for R)

Achieving High Data Integrity for Government Operations

  • Complete
  • Correct
  • Accurate
  • Relevant
  • Consistent

Automating the Data Cleaning Process for Government Efficiency

Monitoring Your Data Cleaning System for Continuous Improvement

Summary and Conclusion for Government Stakeholders

Requirements

  • A comprehensive understanding of data analytics concepts.

Audience for Government

  • Data Scientists
  • Data Analysts
  • Business Analysts
 7 Hours

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