
Data science methodology: Best practices for successful implementations
Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.
