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Data Science Team Lifecycle Management
Summary
Discover strategies and best practices for recruiting, developing, and retaining data science and engineering teams.
Data scientists and engineers are some of the most sought-after roles in today’s job market. But many managers lack the complete set of skills required to recruit and retain key talent effectively. In this course, Stanford University instructor and curriculum director Angel Evan offers a comprehensive overview of how to develop and manage diverse and inclusive data science and engineering teams. By the end of this course, you’ll be better equipped to navigate the three main stages of the employee lifecycle: recruiting, development, and retention.