Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for

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Hands-On Data Preprocessing in Python by Roy Jafari

Whether you're a data analyst new to programming or already familiar with it, this book will teach you the optimum techniques for data preprocessing from both technical and analytical perspectives. You'll explore the world of advanced data manipulation and preprocessing techniques to create successful data analytic solutions.

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Paperback CONDITION
Brand New Publisher Description

Get your raw data cleaned up and ready for processing to design better data analytic solutionsKey FeaturesDevelop the skills to perform data cleaning, data integration, data reduction, and data transformationMake the most of your raw data with powerful data transformation and massaging techniquesPerform thorough data cleaning, including dealing with missing values and outliersBook DescriptionHands-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 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 '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 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 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 you will learnUse Python to perform analytics functions on your dataUnderstand the role of databases and how to effectively pull data from databasesPerform data preprocessing steps defined by your analytics goalsRecognize and resolve data integration challengesIdentify the need for data reduction and execute itDetect opportunities to improve analytics with data transformationWho this book is forThis 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.

Table of Contents

Table of Contents

Review of the Core Modules of NumPy and Pandas

Review of Another Core Module - Matplotlib

Data

Databases

Data Analysis

Data Cleaning Level I - Cleaning Up the Table

Data Cleaning Level II - Unpacking, Restructuring, and Reformulating the Table

Data Cleaning Level III- Missing Values, Outliers, and Errors

Data Fusion and Data Integration

Data Reduction

Data Transformation and Massaging

Case Study 1 - Mental Health in Tech

Case Study 2 - Predicting COVID-19 Hospitalizations

Case Study 3: United States Counties Clustering Analysis

Summary, Practice Case Studies, and Conclusions

Details ISBN1801072132 Author Roy Jafari Pages 602 Publisher Packt Publishing Limited Year 2022 ISBN-10 1801072132 ISBN-13 9781801072137 Format Paperback Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom Subtitle Learn how to effectively prepare data for successful data analytics AU Release Date 2022-05-27 NZ Release Date 2022-05-27 DEWEY 005.133 Audience General Country of Origin US Product Class Description Computing: Textbooks & Study Guides Publication Date 2022-01-21 UK Release Date 2022-01-21
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