Session ID: 134
Agile methodologies have been widely adapted by software engineering teams and have seen great success with improvements to the development process, deliverables and communication. Data science, statistical research, and analytics do not fit the typical software engineering project mold so how do they embrace agile? Michelle will demonstrate how teams can adapt agile principles and techniques to make their team more efficient in their work, without adding processes they will frown at.
Objective 1: Understand which agile principles work for data science teams
Objective 2: Have a plan for implementing agile within your own team