Data Gathering

Data Science    |    Beginner
  • 14 videos | 1h 7m 14s
  • Includes Assessment
  • Earns a Badge
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In data science, you need to gather data, extracting, parsing, and scraping data from various sources, both internal and external as a critical first part in the data science pipeline. Explore examples of practical tools for data gathering.

WHAT YOU WILL LEARN

  • Describe problems and software tools associated with data gathering
    Use curl to gather data from the web
    Use in2csv to convert spreadsheet data to csv format
    Use agate to extract data from spreadsheets
    Use agate to extract tabular data from dbf files
    Extract data from particular tags in an html document
    Distinguish between metadata and data
  • Work with metadata in http headers
    Work with linux log files
    Work with metadata in email headers
    Perform a secure shell connection to a remote server
    Copy remote data using a secure copy
    Synchronize data from a remote server
    Download an html file and explore table data

IN THIS COURSE

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