Mastering the Data Science Workflow

Photo by Fer Troulik on Unsplash

The collection stage involves acquiring the necessary data in order to perform a meaningful analysis based upon accurate information.

Techniques

Data Requirements
Define which data is needed to properly approach the project (e.g. format, variables, , granularity)

Data Sources
Find reliable and relevant data sources (e.g. databases, APIs, , sensor readings)


Secure necessary to the data (e.g. email/password, OAuth, API key, .txt)

Collection
Acquire the data using appropriate methods (e.g. SQL queries, API calls, web scraping, manual data entry)

Data Management
Handle the data in accordance with (e.g. data quality, data , )

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