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Hands-On Data Preprocessing in Python

person icon Roy Jafari

Hands-On Data Preprocessing in Python

Hands-On Data Preprocessing in Python

person icon Roy Jafari

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

category icon Development ,Data Science,

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This eBook includes

Formats : PDF (Read Only)

Pages : 602

ISBN : 9781801079952

Language : English

About the Book

Book description

Get your raw data cleaned up and ready for processing to design better data analytic solutions

Key Features

  • Develop the skills to perform data cleaning, data integration, data reduction, and data transformation
  • Make the most of your raw data with powerful data transformation and massaging techniques
  • Perform thorough data cleaning, including dealing with missing values and outliers

Book Description

Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who’s developed college-level courses on data preprocessing and related subjects.

With this book, you’ll be equipped with the optimum data preprocessing techniques from multiple perspectives, ensuring that you get the best possible insights from your data.

You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with implementing them using the open source Python programming environment.

The hands-on examples and easy-to-follow chapters will help you gain a comprehensive articulation of data preprocessing, its whys and hows, and identify opportunities where data analytics could lead to more effective decision making. As you progress through the chapters, you’ll also understand the role of data management systems and technologies for effective analytics and how to use APIs to pull data.

By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and handle outliers or missing values to effectively prepare data for analytic tools.

What you will learn

  • Use Python to perform analytics functions on your data
  • Understand the role of databases and how to effectively pull data from databases
  • Perform data preprocessing steps defined by your analytics goals
  • Recognize and resolve data integration challenges
  • Identify the need for data reduction and execute it
  • Detect opportunities to improve analytics with data transformation

Who this book is for

This book is for junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and data cleaning on large amounts of data. You don’t need any prior experience with data preprocessing to get started with this book. However, basic programming skills, such as working with variables, conditionals, and loops, along with beginner-level knowledge of Python and simple analytics experience, are a prerequisite.

Hands-On Data Preprocessing in Python

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Author Details

Packt Publishing

<a href="https://market.tutorialspoint.com/author/roy_jafari">Roy Jafari</a>

Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.

Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.

We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.

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