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 gatheringuse curl to gather data from the Webuse in2csv to convert spreadsheet data to CSV formatuse agate to extract data from spreadsheetsuse agate to extract tabular data from dbf filesextract data from particular tags in an HTML documentdistinguish between metadata and data
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work with metadata in HTTP Headerswork with Linux log fileswork with metadata in email headersperform a secure shell connection to a remote servercopy remote data using a secure copysynchronize data from a remote serverdownload an HTML file and explore table data
IN THIS COURSE
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1.Basic Data Gathering2m 46sUP NEXT
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2.Gathering Web Data7m 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
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
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CHANNEL
Wintellect Data Science