Teamwork is Essential in Data Science

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Without teamwork, real-world data science problems would be impossible to solve. Sharing personal experiences on the importance of teamwork in an industrial project

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“Teamwork is the ability to work together toward a common vision. The ability to direct individual accomplishments toward organizational objectives. It is the fuel that allows common people to attain uncommon results.” Andrew Carnegie

Teamwork is one of the essential skills required for data science practice. This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

In academic training programs, we often work with very simple datasets and the problem to be solved is well defined. For instance, a homework problem could provide you with a clean dataset and it might ask you… Read the full blog for free on Medium.

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Published via Towards AI