Advanced Certificate in Data Product Strategy for Agile Teams
-- ViewingNowThe Advanced Certificate in Data Product Strategy for Agile Teams is a comprehensive course designed to equip learners with essential skills for career advancement in the data-driven industry. This course focuses on teaching learners how to create and manage data products using agile methodologies, which are highly sought after by employers today.
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⢠Data Product Strategy Development: This unit covers the process of creating and implementing a comprehensive data product strategy, focusing on aligning data products with business goals and customer needs.
⢠Agile Methodologies for Data Teams: This unit explores the application of Agile methodologies in data teams, including Scrum, Kanban, and Lean, and their impact on data product development.
⢠Data Product Backlog Management: This unit focuses on best practices for managing the data product backlog, including prioritization, refinement, and estimation techniques.
⢠Data Product Design Thinking: This unit delves into the use of design thinking principles in data product development, focusing on user-centered design, prototyping, and testing.
⢠Data Product Analytics and Metrics: This unit covers the importance of analytics and metrics in data product development, including key performance indicators (KPIs), data-driven decision making, and experimentation.
⢠Data Product Lifecycle Management: This unit explores the entire data product lifecycle, from ideation to sunsetting, including go-to-market strategies, scaling, and maintenance.
⢠Data Product Governance and Compliance: This unit covers the legal and ethical considerations in data product development, including data privacy, security, and compliance with regulations.
⢠Data Product Innovation and Disruption: This unit focuses on the role of innovation and disruption in data product development, including emerging trends and technologies.
⢠Data Product Team Collaboration and Communication: This unit emphasizes the importance of effective collaboration and communication within data product teams and with stakeholders, including best practices for Agile ceremonies and team dynamics.
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