Home - Data Science Process Alliance

Welcome to the Data Science Process Alliance

We believe that data science projects are unique. And that it’s time we start managing them as such. Therefore, we help leaders, teams, and organizations apply effective agile principles to data science projects so that they can deliver better data science outcomes. This path is challenging. But it’s also a lot of fun. We hope you join us on this journey!

Lead Teams and Processes

Master Different Frameworks

Data Driven Scrum

A new agile framework specific for data science. Combines elements of Kanban and Scrum.

CRISP-DM

The classic and most popular data mining process is a good starting point but should be augmented with team-based approaches.

Scrum

Software engineering’s most popular agile approach has a lot going for it, but it’s rigid time-boxing creates issues for data science.

Microsoft TDSP

Microsoft's Team Data Science Process combines elements of CRISP-DM with modern agile software practices.

Kanban

Its flexibility is ideal for many data science teams, especially when combined with more comprehensive project management methodologies.

Domino Data Science Lifecycle

Domino takes the best practices from agile concepts, CRISP-DM, and 20 successful teams to create a modern lifecycle dedicated to data science.

Advance Your Career

Confidently Lead Projects

The Data Science Team Lead™ (DSTL) course provides in-depth, comprehensive, and actionable training to empower you to confidently lead data science projects.

Course and Certification

Each Data Science Team Lead course combines the most extensive set of data science process research with active industry experience to educate you on how to deliver data science outcomes. Unlike other general agile courses, the Team Lead courses will help you manage data science projects.

Empower your team. Differentiate yourself. Get certified.

Deliver Data Science Outcomes