Waterfall project management plans set a rigid plan upfront. This inflexibility creates challenges for data science projects.| Data Science PM
How do you prioritize deliverables in a data science project? The best was to deliver value is by slicing your project into end-to-end value pieces.| Data Science PM
What can you learn from observing 20 data science teams. Dive into some of the best practices that you can apply on your next project.| 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
This is the web's most comprehensive guide to managing data science projects. Combine a data science methodology with an agile approach.| Data Science Process Alliance
Based on a recent poll conducted on our site, CRISP-DM remains as the most popular framework for data science projects.| Data Science PM