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
-
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
-
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
-
2m 46s
-
7m 27s
-
4m 21s
-
3m 48s
-
2m 57s
-
6m 16s
-
5m 32s
-
5m 17s
-
5m 6s
-
6m 48s
-
3m 56s
-
2m 56s
-
6m 14s
-
3m 50s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.