Data scientists often begin a project by gathering or identifying relevant data sources, such as surveys. They may use a variety of methods to obtain data, including through access to other organizations' databases or by using web-scraping tools (software that extracts specific information from websites). (Source: BLS) Topics include: Raw and Processed Data, Tidy Data, Reading from Web and APIs, Summarizing and Merging Data, Regular Expressions and Text Variables.
Data scientists often begin a project by gathering or identifying relevant data sources, such as surveys. They may use a variety of methods to obtain data, including through access to other organizations' databases or by using web-scraping tools (software that extracts specific information from websites). (Source: BLS)
Topics include: Raw and Processed Data, Tidy Data, Reading from Web and APIs, Summarizing and Merging Data, Regular Expressions and Text Variables.
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