Data Management & Data Cleaning

Objective

Improve data quality, consistency, and information reliability.

Topics Covered

  1. Data Validation Techniques
    • Preventing input errors and improving accuracy
  2. Data Cleaning Processes
    • Removing duplicates and correcting inconsistencies
  3. Standardizing Data Formats
    • Managing dates, numbers, and text consistency
  4. Importing & Exporting Data
    • Managing information between systems and files
  5. Introduction to Databases
    • Basic concepts including tables, fields, and records

Activity

Clean, validate, and standardize a sample dataset.

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  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
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