Then we will use a few examples to provide an in-depth exploration of the role of domain knowledge in data science. We will start with some simple case studies to demonstrate how domain knowledge can help us with every stage of the data analysis workflow. Why is domain knowledge important in data science? In this blog post, we will show the value of domain knowledge in data analysis from multiple perspectives.Īs shown in Figure 1, a data analysis project can be decomposed into different steps, including problem formulation, data collection, data preprocessing, modeling, and result interpretation. Introductionĭata science is often depicted as a field that lies at the intersection of computer science, mathematics/statistics, and domain-specific expertise. We will discuss how domain knowledge can be helpful in each stage. Visualization of the basic steps for a data analysis project.
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