You're reading from Hands-On Data Preprocessing in Python

Product typeBook

Published inJan 2022

PublisherPackt

ISBN-139781801072137

Edition1st Edition

Tools

PyTorch Azure Functions

Concepts

Big Data

Author (1)

Roy Jafari

Are we analyzing data via computer programming?

To benefit most from the two modules that we will cover in this chapter, we need to understand what they really are and what we are really doing when we use them. I am sure whoever is in the business of content development for data analytics using Python, including me (guilty as charged), would tell you that when you use these modules to manipulate your data, you are analyzing your data using computer programming. However, what you are actually doing is not computer programming. The computer programming part has already been done for the most part. In fact, this has been done by the top-notch programmers who put together these invaluable packages. What you do is use their code made available to you as programming objects and functions under these modules. Well, if I am being completely honest, you are doing a tad bit of computer programming, but just enough to access the good stuff (these modules). Thanks to these modules, you will not experience any difficulty in analyzing data using computer programming.

So, before embarking on your journey in this chapter and this book, remember this: for the most part, our job as data analysts is to connect three things – our business problem, our data, and technology. The technology could be commercial software such as Excel or Tableau, or, in the case of this book, these modules.

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Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137

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Author (1)

Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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