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 Duration 7 hours

Course Outline

Introduction

Overview of Data Cleaning

  • The significance of data cleaning

Case Study: Managing Dirty Big Data

Crafting a Comprehensive Data Cleaning Strategy

Essential Data Cleaning Tools

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

Ensuring High Data Integrity

  • Completeness
  • Correctness
  • Accuracy
  • Relevance
  • Consistency

Automation of Data Cleaning Processes

Monitoring Data Cleaning Systems

Summary and Conclusion

Requirements

  • Foundational knowledge of data analytics concepts.

Target Audience

  • Data Scientists
  • Data Analysts
  • Business Analysts

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