A data science workflow defines the phases (or steps) that the team should execute to successfully deliver a project.| Data Science PM
Waterfall project management plans set a rigid plan upfront. This inflexibility creates challenges for data science projects.| Data Science PM
What is Agile and is it a fit for data science? Generally, yes but the agile methodologies need to flex to the data science's unique needs.| Data Science PM
Microsoft's Team Data Science Process (TDSP) combines elements of Agile, modern software practices, and CRISP-DM. Is it effective for data science projects?| Data Science Process Alliance
SEMMA is a step-by-step data mining process used to extract knowledge in databases. Learn about how to use it your data science projects.| Data Science Process Alliance
What is the Knowledge Discovery in Databases (KDD) Process and Data Mining? Learn how to use these in your data science projects.| Data Science Process Alliance
The CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model with six phases that describes the data science life cycle.| Data Science Process Alliance
Data science is a team sport. These eight key data science team roles can help ensure you can successfully deliver projects.| Data Science Process Alliance