You're facing delays due to external data dependencies. How will you keep your projects on track?
In data science, your success often hinges on timely access to external data. But what happens when you're facing delays due to these external data dependencies? Keeping your projects on track can be challenging, but with the right strategies, you can mitigate risks and maintain progress. Delays can come from various sources, such as third-party data providers, changes in data access policies, or technical difficulties. Understanding how to navigate these obstacles is crucial to ensure that your data-driven projects don't stall.