From the course: Data Science Team Lifecycle Management
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How to determine when to mentor and when to teach
From the course: Data Science Team Lifecycle Management
How to determine when to mentor and when to teach
- As a data science professional, you understand that mentoring and teaching are essential tools when helping your teams to achieve success. Knowing the right approach for any given situation is important if you want to impact your team's growth and results. Through discussing real life scenarios, we will analyze what conditions best suit the different methods of imparting knowledge and skills so that you can get it right every time. Let's look at a couple of different scenarios to differentiate teaching from mentoring. For example, a senior data scientist could teach a newer team member the steps involved in developing a predictive model, from data cleaning, feature engineering and modeling, to model evaluation and development. This kind of teaching builds skills and knowledge the mentee will use in the future. The teacher can also assess those skills and expertise and assessment of knowledge is an essential…
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