A Data Science Life Cycle describes the steps to deliver projects and products. This post walks through one you can use on your next project.| Data Science PM
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
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
Does Scrum work for data science projects? Software's most popular agile framework provides some great benefits but it also constrains data science work.| 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
What is Kanban, and does it work for data science? Its flexibility is ideal for many projects, espicially when combined with more comprehensive approaches.| Data Science Process Alliance