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CodeSignal

Automating Data Cleaning with Python

via CodeSignal

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Overview

This course focuses on automating the data cleaning process using Python. It covers pipeline creation, automation with functions, handling large datasets efficiently, and logging and debugging.

Syllabus

  • Unit 1: Automating Data Cleaning with Functions in Python
    • Standardize Library Data with Functions
    • Handling Missing Data Gracefully
    • Clean Movie Ratings Safely
    • Enhance Your Data Cleaning Skills
  • Unit 2: Creating Reusable Data Cleaning Pipelines
    • Enhance Your Data Pipeline Skills
    • Fix Missing Data Handling Error
    • Enhance Your Data Pipeline Skills
    • Enhance Your Data Cleaning Pipeline
  • Unit 3: Handling Large Datasets Efficiently
    • Enhance Dataset Processing Efficiency
    • Find and Fix Code Bug
    • Streamline Data Filtering Process
    • Track Your Progress with Data Chunks
  • Unit 4: Logging and Debugging Data Cleaning Processes
    • Enhancing Data Quality Monitoring
    • Track Execution Time in Data Cleaning
    • Enhance Your Data Logging Skills

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