The workshop begins by demonstrating how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional ways of data cleaning as done in other languages and take advantage of the specialized pre-built routines in Python. As you progress, you’ll learn how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the workshop teaches you how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool.
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