Data Science Team Lifecycle Management | LinkedIn

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 instructor and curriculum director Angel Evan offers a comprehensive overview of how to develop and manage diverse and inclusive data science and engineering teams.

Explore strategies for recruitment, retention, career advancement, professional development, and more. Find out whether you'd like to pursue a career path as an individual contributor or a manager. From building mentorship and teaching skills to aligning personal goals with business goals, 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.




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