What is the focus of the Business Understanding stage in data science?

The focus of the Business Understanding stage in data science is primarily on identifying and addressing the core business problems. This stage is crucial, as it sets the foundation for the entire data science project. By understanding the specific business issues that need to be solved, data scientists can better define the objectives and scope of their analysis.

In this stage, practitioners typically engage with stakeholders to gather insights about the business domain, clarify the objectives of the project, and ensure that the data science efforts are aligned with the overall business goals. This understanding is essential for guiding the data collection, analysis, and interpretation phases that follow, as it directly influences the methodologies and techniques that will be employed to arrive at actionable insights.

The other options focus on aspects that come later in the data science workflow, such as applying statistical methods, deciding on data visualization techniques, or considering hardware constraints. While these components are important, they do not capture the primary goal of establishing a solid understanding of business needs and challenges at the outset.