Analytics teams need agility and flexibility designed into their processes to meet the evolving needs of the business.
This course helps teams understand and apply Agile best practices to increase the alignment, impact and velocity of analytic solutions. Students learn the pros & cons of Agile, along with the mechanics, work breakdown and team roles involved to successfully manage analytics projects at scale.
Definition - What makes a team Agile? How does Agile compare to other project management methods?
Alignment - When does Agile make sense and how does it apply to certain projects?
Structure - How can we set up roles and processes to start working in an Agile manner?
Understand the key benefits, concepts, roles, and meetings of Agile.
Learn the best practices for defining the sprint backlog, estimation, and other agile planning methods. Experience a backlog grooming and sprint planning session.
Learn how to leverage the agile process and approach to build analytic solutions iteratively.
Explain and leverage the stages of the lifecycle of analytic solutions.
Understand and utilize the terminology, best practices, and key concepts for planning, building and shipping analytic solutions.
Apply Agile methodology for continuously improving and iterating on an analytic solution over time.
This enables our tailored training experience. We want to make sure each class is right for you, and that you will get the most value out of completing it.
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I felt like we hit our stride and were sharing organizational context and prior experiences alongside course concepts in a way that elevated the training. I really enjoyed our discussions.
