.png)
The course aims to equip participants with practical knowledge and insights to effectively manage and lead data product initiatives.
Difficulty
Hours per week
Live Sessions
Next Date
Objective
The objetive of this program is to provide participants with a deep understanding of best practices in data product management and to explore real-world case studies to learn from successful data product implementations. The course aims to equip participants with practical knowledge and insights to effectively manage and lead data product initiatives.
• Familiarity with data management concepts and technologies.
• Understanding of basic project management principles.
• Proficiency in a programming language commonly used in data engineering, such as Python.
Explore popular frameworks and methodologies for effective data product management. Understand the key components of a data product management framework and how to apply them throughout the data product lifecycle. Learn best practices and gain insights from successful data product management initiatives.
Develop essential skills for collaborating with stakeholders from various teams and departments, including data scientists, engineers, designers, and business stakeholders. Learn effective communication techniques to convey data product vision, requirements, and progress updates. Gain insights into facilitating cross-functional teamwork and resolving conflicts.
Analyze real-world case studies of successful data product implementations to understand the challenges faced and lessons learned. Extract best practices and insights from these case studies and apply them to participants' own data product initiatives. Explore data product management examples from different industries, including emerging trends and advancements.
.png)
