From the course: Data Science Team Lifecycle Management
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Mentorship and teaching
From the course: Data Science Team Lifecycle Management
Mentorship and teaching
- At first glance, teaching and mentoring might seem like interchangeable terms. And after all, both involve working with individuals to impart knowledge and help them grow. While these two roles have a lot of similarities, there's some distinct differences that set them apart. Both mentoring and teaching have value but when does each one apply and how do you determine which to choose? Let's take a closer look at their fundamental differences. Let's start with mentoring. Mentoring is an integral part of professional development for data scientists and often has a significant impact on career progression. Mentoring is an active relationship in which one person, the mentor, passes on lessons to the other person, the mentee. While many people think of mentorships as formal programs run by organizations or institutions, they can take many forms depending on the needs of both parties, from casual chats to regular sessions…
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