Team Data Science Process

The Team Data Science Process is a structured approach that guides data scientists through solving problems using data. It involves steps like understanding the problem, collecting and preparing data, analyzing it to find insights, building models to predict or classify, and then deploying those models to support decision-making. Throughout, the team collaborates, evaluates results, and communicates findings clearly. This organized workflow helps ensure projects are efficient, transparent, and yield reliable results that can be effectively used to inform business or research decisions.