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CodeSignal

Advanced Data Cleaning: Handling Text Data with Python

via CodeSignal

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Overview

This course extends data cleaning techniques to handle text-based data in tabular datasets. It covers cleaning and processing text columns, dealing with mixed data types, extracting meaningful features from text, and preparing text data for machine learning.

Syllabus

  • Unit 1: Handling Text Columns in Tabular Data with Python
    • Refine Your Text Cleaning Skills
    • Fix Numeric Values in Text Data
    • Standardize Synonyms for Clean Data
    • Track and Log Data Transformations
  • Unit 2: Removing Special Characters and Normalizing Text Using Python
    • Enhance Text Readability with Python
    • Fix the Text Formatting Issue
    • Enhance Text with Unicode Normalization
    • Logging Special Character Removal
  • Unit 3: Handling Mixed Data Types in Columns Using Python
    • Transform Percentages in Data Columns
    • Debugging Accounting Format in Data
    • Log and Handle Non-numeric Entries
    • Categorize Prices with Python Functions
  • Unit 4: Preparing Text Data for Machine Learning Using Python
    • Bigrams in Feature Extraction
    • Enhance Text Preprocessing Skills
    • Enhance Text with N-Gram TF-IDF

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