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Course Outline

Introduction

Overview of Data Cleansing

  • Why is Data Cleansing Important?

Case Study: When Big Data Is Dirty

Developing a Comprehensive Data Cleansing Strategy

Common Data Cleansing Tools

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

Achieving High Data Integrity

  • Complete
  • Correct
  • Accurate
  • Relevant
  • Consistent

Automating the Data Cleansing Process

Monitoring Your Data Cleansing System

Summary and Conclusion

Requirements

  • A foundational understanding of data analytics concepts.

Target Audience

  • Data Scientists
  • Data Analysts
  • Business Analysts
 7 Hours

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