The duration of a typical data science project can vary significantly depending on
various factors, including the size, complexity, scope, and specific requirements of
the project. Additionally, external factors such as data availability, computational resources,
and regulatory approvals can also impact the timeline.
That being said, a small-scale data science project such as a simple data analysis or
visualization task may take anywhere from a few days to a few weeks to complete.
On the other hand, large-scale projects such as developing machine learning models or
implementing business intelligence solutions can take several weeks to several months to finish,
depending on the scale and complexity of the project.