Data Gathering
Data Science
| Beginner
- 14 videos | 1h 7m 14s
- Includes Assessment
- Earns a Badge
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
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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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2m 46s
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7m 27s
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3. Extracting Spreadsheet Data with in2csv4m 21s
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4. Extracting Spreadsheet Data with agate3m 48s
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5. Extracting Legacy Data from dBASE Tables2m 57s
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6. Extracting HTML Data6m 16s
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7. Gathering Metadata5m 32s
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8. Working with HTTP Headers5m 17s
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9. Working with Linux Log Files5m 6s
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10. Working with Email Headers6m 48s
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11. Connecting to Remote Data3m 56s
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12. Copying Remote Data2m 56s
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13. Synchronizing Remote Data6m 14s
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14. Exercise: Explore HTML Tables3m 50s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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