With the advent of the information age, fueled by the increasing availability of the internet and technology, many businesses now generate vast amounts of data. This data usually contains enormous hidden value that, if unearthed, could provide businesses with insights that would better their operational efficiency, boost competitive advantage, or increase revenues. Data analytics is the scientific approach to analyzing and visualizing this data in order to draw conclusions. Any company that generates data and wishes to use this data to inform their decision making process requires data analytics. A professional who performs data analytics is commonly referred to a data analyst.

This guide offers online resources and materials that will solidify your knowledge in Python for data analytics. It is broken down into sections in general chronological order of data analysis steps. In each subsection, you will learn about various functions and packages that perform particular tasks. The guide assumes at least intermediate knowledge of Python…

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