Data Gathering

Data Science
  • 14 Videos | 1h 13m 44s
  • Includes Assessment
  • Earns a Badge
Likes 69 Likes 69
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

  • Playable
    1. 
    Basic Data Gathering
    2m 46s
    UP NEXT
  • Playable
    2. 
    Gathering Web Data
    7m 27s
  • Locked
    3. 
    Extracting Spreadsheet Data with in2csv
    4m 21s
  • Locked
    4. 
    Extracting Spreadsheet Data with agate
    3m 48s
  • Locked
    5. 
    Extracting Legacy Data from dBASE Tables
    2m 57s
  • Locked
    6. 
    Extracting HTML Data
    6m 16s
  • Locked
    7. 
    Gathering Metadata
    5m 32s
  • Locked
    8. 
    Working with HTTP Headers
    5m 17s
  • Locked
    9. 
    Working with Linux Log Files
    5m 6s
  • Locked
    10. 
    Working with Email Headers
    6m 48s
  • Locked
    11. 
    Connecting to Remote Data
    3m 56s
  • Locked
    12. 
    Copying Remote Data
    2m 56s
  • Locked
    13. 
    Synchronizing Remote Data
    6m 14s
  • Locked
    14. 
    Exercise: Explore HTML Tables
    3m 50s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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