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Course Outline

Introduction

Fundamentals of Data Cleaning

  • The Importance of Data Cleaning

Case Study: Challenges with Dirty Big Data

Crafting a Comprehensive Data Cleaning Strategy

Popular Data Cleaning Tools

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

Ensuring High Data Integrity

  • Completeness
  • Correctness
  • Accuracy
  • Relevance
  • Consistency

Automating Data Cleaning Workflows

Overseeing Your Data Cleaning System

Summary and Conclusions

Requirements

  • Familiarity with fundamental data analytics concepts.

Target Audience

  • Data Scientists
  • Data Analysts
  • Business Analysts
 7 Hours

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