Data Science Project Management
Data Science Project Management is the proficiency to coordinate and guide data-related projects, encompassing skills in establishing project goals, determining data necessities, coordinating data science teams, monitoring project progress, managing risks, and ensuring the effective usage and interpretation of data to reach the desired objective.
Level 1: Emerging
At an emerging level, you are capable of understanding key data science project elements, such as scope and resources, but might require supervision when executing project plans.
Level 2: Proficient
At a proficient level you are able to effectively manage and lead data science projects, ensuring timely completion, resource allocation, risk management, and stakeholder communication. You have a solid understanding of project management principles.
Level 3: Advanced
At an advanced level you are proficient in leading and overseeing complex data science projects, managing resources effectively, mitigating risks, and delivering high-quality results within specified timeframes.
