This book teaches data preprocessing techniques from multiple perspectives. Roy Jafari looks at different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and describes how to get to grips with implementing them using the open source Python programming environment.

<ASIN:1801072132>

The book also includes a comprehensive articulation of data preprocessing, its whys and hows, and help identify opportunities where data analytics could lead to more effective decision making. It also demonstrates the role of data management systems and technologies for effective analytics and how to use APIs to pull data.

Author: Roy Jafari
Publisher: Packt Publishing
Date: January 2022
Pages: 602
ISBN: 978-1801072137
Print: 1801072132
Kindle: B09F6R8V2L
Audience: Python developers interested in data preprocessing
Level: Intermediate
Category: Data Science

Topics covered: 

• 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  

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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