Final answer:
Data for data science projects can be sourced from general-interest databases, academic databases like CQ Researcher and Factiva, as well as the World Bank Open Data website. Scholarly is also a valuable tool for accessing scholarly literature.
Step-by-step explanation:
You can find data to use for data science projects from a variety of sources. General-interest databases are great starting points, containing a wide range of topics from many publishers. Your library or university may grant access to some tailored to your specific needs, and a librarian can assist in finding these.
For instance, databases like CQ Researcher and Factiva offer comprehensive, well-researched content on various subjects, which can be beneficial for data science projects. CQ Researcher features in-depth reports while Factiva provides extensive news articles and financial data. Scholarly is another excellent resource that indexes scholarly literature across disciplines.
Additionally, for detailed and interactive data visualizations, the World Bank Open Data website is an open-access platform. Utilizing references from credible articles with the aid of academic databases, you can further enhance the breadth of your data sources.