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Course Outline

Introduction

Overview of Data Cleaning

  • Importance of Data Cleaning

Case Study: The Impact of Dirty Big Data

Developing a Comprehensive Data Cleaning Strategy

Common Data Cleaning Tools

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

Achieving High Data Integrity

  • Complete
  • Correct
  • Accurate
  • Relevant
  • Consistent

Automating the Data Cleaning Process

Monitoring Your Data Cleaning System

Summary and Conclusion

Requirements

  • Understanding of data analytics concepts.

Target Audience

  • Data Scientists
  • Data Analysts
  • Business Analysts
 7 Hours

Testimonials (2)

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