The Structure of a Data Science Project
Data science projects can vary significantly in their scope, objectives, and deliverables. From exploratory data analysis and building reports and dashboards to developing and deploying machine learning and artificial intelligence models to production – the structure and approach to a data science project needs to be tailored accordingly.
In this chapter, we will look at the common types of data science projects and their associated processes and deliverables. This will equip you, as a leader of data science initiatives, with knowledge of how to scope and plan a data science project, and the key steps involved in researching, developing, testing, and deploying a data product.
By the end of this chapter, you will be able to do the following:
- Identify, prioritize, and frame data science use cases
- Distinguish different types of data science projects and deliverables
- Scope and plan a data science project and create useful...
