The Project Manager in Data Science - Data Science PM
An effective project manager in data science understands how to apply appropriate project management practices to data science projects.| Data Science PM
An effective project manager in data science understands how to apply appropriate project management practices to data science projects.| Data Science PM
Building a Data Science MVP (Minimal Viable Product) step in your project plan can shorten time to initial delivery and decrease risk.| Data Science PM
An effective data science process outlines both the project steps and how the team works together to execute these steps.| Data Science PM
As the data science function matures, a dedicated product manager to drive product vision and strategy is becoming increasingly crucial.| Data Science PM
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 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
CRISP DM is the most popular framework for delivering data science projects. Learn 5 keys to leverage CRISP DM on your projects.| Data Science Process Alliance
The AI product owner is an emerging, in-demand role. Scrum and Data Driven Scrum teams use this role to define and drive product development.| Data Science PM
Explore a project life cycle to enable you to managing generative AI projects that create chatbots and other agents .| Data Science Process Alliance
Companies are looking for AI Product Managers who manage business, technology, and data to develop, launch, and operate AI products.| Data Science PM
