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Frequently asked questions about data scientists


What do I write in my request for a data analysis project?

Three things are enough: the goal of the analysis, the scope and nature of the data you have available, and a rough deadline — even if the brief is incomplete. If you're not sure of everything, that's fine: ask the freelancer for a preview of expected results, so quotes stay comparable.


I just need a Power BI dashboard, not a full analysis — can I find that here?

Yes. Many freelance data scientists also work on targeted business intelligence projects: building Power BI or Tableau dashboards, automating periodic reports, connecting to an existing data warehouse. State this need in your request to get targeted proposals, without the complexity of a full data science project.


How do I compare the proposals I receive?

Look at three concrete things: what gets delivered, how many revisions are included, and what approval steps are planned. Favor those who show similar past projects and explain how they handle timing and communication.


What do I usually get at the end of the project?

You usually get a final report with results and recommendations, a presentation for stakeholders and, if planned, live dashboards on Power BI, Tableau or Looker Studio to monitor data over time. On the technical side: commented source code on a repository, clean, ready-to-use datasets and notebooks documenting the analysis step by step. For predictive data science projects, you also get ready-to-use machine learning models and technical documentation for integration into your systems.



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