Course Outline

Introduction

Overview of Data Cleaning for Government

  • Why is Data Cleaning Important for Government?

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

Developing a Thorough Data Cleaning Strategy for Government

Common Data Cleaning Tools for Government

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

Achieving High Data Integrity for Government

  • Completeness
  • Correctness
  • Accuracy
  • Relevance
  • Consistency

Automating the Data Cleaning Process for Government

Monitoring Your Data Cleaning System for Government

Summary and Conclusion

Requirements

  • A comprehensive understanding of data analytics concepts.

Audience for Government

  • Data Scientists
  • Data Analysts
  • Business Analysts
 7 Hours

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