Data Scientist is one of the critical technology job roles today. (Robert Half International, 2021)
Data Scientists are the unicorns who bring a creative combination of an engineer, visualization expert, analyst, researcher, and navigator between the business and data science teams.
It’s one of those job roles that may sound super-technical, cryptic, and even hard to get, but with the right push in the right direction, one can become a great data scientist.
From Amazon to Facebook and down to the thousands of disruptors across industries, data science has become intrinsic to business success. Companies are culling through their troves of raw information to gain a competitive advantage. All are seeking a firm footing in data and analytics.
So how do these data wizards mine the terabytes of information out there?
This guide elucidates some effective tips, tricks, and hacks that data scientists can use to make their lives easier. It will help you make smarter business choices and become a better and more efficient data scientist. Reflecting on the decades of experience of Senior Data Scientists and industry best practices, this guide brings to you:
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General tips and tricks,
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Hacks and tips for using Python,
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Tips on data extraction,
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Data preprocessing hacks, and
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Tips and tricks to build predictive models.
