The data science project starts with the identification of various data sources, which may include web server logs, social media posts, data from digital libraries and databases, data accessed through sources on the internet via APIs, web scraping, or information that is already present in an excel spreadsheet.

Then there is EDA and other stages such as ML Model building, NLP, CV and Predictive Analytics.