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Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition.
Consequently, as the demand for data scientists increases, the discipline presents an enticing career path for students and existing professionals. This includes those who are not data scientists but are obsessed with data, which has left them asking:
What skills do I need to become a data scientist?
This article aims to answer this question. We will dive into the technical and non-technical skills that are critical for success in data science.
If you are a potential data scientist, you can use the information herein, to carve a successful career for yourself in data science.
If you are a data analytics director at an organization, you can leverage the information to train your existing team of data scientists, in order to make them more productive and efficient at their work.
This is an address for all those who love to wrangle and rumble …
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