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CodeSignal

Cleaning and Transforming Data with Pandas

via CodeSignal

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Overview

This course explores advanced Pandas functionalities for transforming data, handling categorical and text data, processing date-time values, and performing feature engineering for better analysis.

Syllabus

  • Unit 1: Encoding Categorical Variables Using Python
    • Encoding Categorical Data Efficiently
    • Fix the Categorical Encoding Bug
    • Transform Status Data to Numbers
    • Conditional Agenda Handling Task
  • Unit 2: Python Basics: Reading Files and Data Cleaning
    • Replacing NONE with Missing Data
    • Mastering Text Data Cleanup
    • Transform Your Text Data Now
    • Data Cleaning with Pandas
  • Unit 3: Working with DateTime Features in Pandas
    • Extract Day Number from Dates
    • Fix Date Conversion Error
    • Unlock Date Manipulation Skills
    • Master DateTime with Pandas
  • Unit 4: Data Type Conversion in Pandas
    • Efficient Data Type Conversion
    • Fix Bugs in Data Type Conversion
    • Mastering Data Type Conversion
  • Unit 5: Feature Engineering with Pandas
    • Handling Missing Data in Features
    • Fix the Feature Creation Error
    • Feature Engineering with Pandas
    • Enhance Features with Pandas

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