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Whether you’re a master in Python or still learning your way around the multi-paradigm programming language, chances are you’re making simple mistakes that cost you significant time and productivity. In this course, you’ll learn the most common mistakes data scientists make while using Python. By the end of this course, you’ll be armed with a list of tools, strategies, and best practices to improve your effectiveness working with data in Python.
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