Data Filtering

Data Science    |    Beginner
  • 11 videos | 56m 52s
  • Includes Assessment
  • Earns a Badge
Once data is gathered for data science, it is often in an unstructured or raw format and must be filtered for content and validity. Explore examples of practical tools and techniques for data filtering.

WHAT YOU WILL LEARN

  • Identify common filtering techniques and tools
    Extract date elements from common date formats
    Parse content types in http headers
    Use csvcut to filter csv data
    Use sed to replace values in a text data stream
    Drop duplicate records from data
  • Extract headers from a jpeg image
    Use pdfgrep to extract data from searchable pdf files
    Detect invalid or impossible data combinations
    Parse robots.txt from a web site to decide what should and shouldn't be crawled nor indexed
    Drop records from a csv file based on date range

IN THIS COURSE

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