Executive Development Programme in Data Product Leadership and Vision
-- ViewingNowThe Executive Development Programme in Data Product Leadership and Vision is a certificate course designed to empower professionals with the necessary skills to lead data product initiatives in today's data-driven economy. This programme is essential for anyone looking to advance their career in data product leadership, as it addresses the growing industry demand for professionals who can leverage data to create innovative and impactful products.
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โข Data Product Leadership: Understanding the role and responsibilities of a data product leader, including developing and executing a data product vision and strategy. โข Data Product Development Lifecycle: Overview of the entire data product development process, from ideation and planning to execution, launch, and maintenance. โข Data Product Management Tools: Introduction to various data product management tools and platforms, such as JIRA, Asana, and Trello, and how to use them effectively to manage data products. โข Data Governance and Ethics: Understanding the importance of data governance and ethics in data product leadership, including best practices for data privacy, security, and compliance. โข Data Storytelling: Learning how to communicate complex data insights and stories to stakeholders and team members effectively. โข Data Analytics and Visualization: Overview of data analytics and visualization tools, techniques, and best practices for creating effective and informative data visualizations. โข Data Product Marketing and Sales: Understanding the importance of marketing and sales in data product leadership, including how to position and sell data products to customers and stakeholders. โข Data Team Leadership: Learning how to lead and manage data teams effectively, including best practices for team communication, collaboration, and motivation. โข Data Product Innovation: Exploring new and innovative approaches to data product development, including emerging trends and technologies in the field. โข Data Product Metrics and Analytics: Understanding how to measure and analyze the success of data products, including key performance indicators (KPIs) and analytics tools.
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