Graduate Certificate in Agile Project Management: Statistical Analysis
-- ViewingNowThe Graduate Certificate in Agile Project Management: Statistical Analysis is a vital course that bridges the gap between Agile methodologies and data analysis. In an era dominated by data-driven decision-making, this certificate course is increasingly important for professionals seeking to advance their careers.
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โข Agile Methodologies · Introduction to Agile project management principles, Agile frameworks (Scrum, Kanban, Lean), Agile roles and responsibilities.
โข Project Initiation · Defining project vision, objectives, and scope, creating a product backlog, prioritizing user stories, estimating work effort, and planning releases.
โข Agile Planning · Release planning, sprint planning, defining sprint goals, creating a sprint backlog, and establishing a definition of done.
โข Agile Execution · Running daily Scrums, managing sprint backlogs, tracking progress, facilitating sprint reviews and retrospectives, and continuous improvement.
โข Stakeholder Engagement · Identifying and managing stakeholders, effective communication, and reporting on Agile project progress and performance.
โข Agile Metrics · Understanding and applying Agile metrics, such as velocity, burn-down charts, cycle time, and lead time, to monitor and improve performance.
โข Statistical Analysis for Agile · Applying statistical methods to analyze Agile data, identifying trends, patterns, and making data-driven decisions.
โข Scaling Agile · Approaches to scaling Agile practices to large and distributed teams, including SAFe, LeSS, and DaD.
โข Agile in Practice · Real-world case studies and practical applications of Agile project management in various industries and contexts.
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