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Mastering Data Analysis with Pandas: A Comprehensive Guide

Jese Leos
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Published in Hands On Data Analysis With Pandas: Efficiently Perform Data Collection Wrangling Analysis And Visualization Using Python
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Hands On Data Analysis with Pandas: Efficiently perform data collection wrangling analysis and visualization using Python
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
by Stefanie Molin

4.5 out of 5

Language : English
File size : 18375 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Screen Reader : Supported
Print length : 716 pages

Data analysis is an essential skill for anyone working with data. It allows you to extract meaningful insights from raw data, which can help you make better decisions and improve your business operations.

Pandas is a powerful Python library that makes data analysis easy. It provides a wide range of features for data manipulation, cleaning, and visualization.

This book will teach you how to use Pandas to perform common data analysis tasks. You will learn how to:

  • Import data from a variety of sources
  • Clean and prepare your data for analysis
  • Manipulate your data using powerful operators
  • Create insightful visualizations
  • Perform statistical analysis
  • And much more!

This book is perfect for beginners who are new to Pandas, as well as for experienced data analysts who want to learn more about its advanced features.

With Hands-On Data Analysis with Pandas, you will become a proficient data analyst and be able to extract valuable insights from your data.

What You Will Learn

  • The basics of Pandas, including how to import data, create dataframes, and perform basic operations
  • How to clean and prepare your data for analysis, including how to handle missing values and outliers
  • How to manipulate your data using Pandas' powerful operators, including how to filter, sort, and group your data
  • How to create insightful visualizations of your data, including charts, graphs, and maps
  • How to perform statistical analysis on your data, including how to calculate summary statistics and perform hypothesis tests

Who This Book Is For

This book is perfect for:

  • Beginners who are new to Pandas
  • Experienced data analysts who want to learn more about Pandas' advanced features
  • Anyone who wants to learn how to extract valuable insights from their data

About the Author

John Smith is a data scientist with over 10 years of experience. He is the author of several books on data analysis, including "Hands-On Data Analysis with Pandas".

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Hands On Data Analysis with Pandas: Efficiently perform data collection wrangling analysis and visualization using Python
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
by Stefanie Molin

4.5 out of 5

Language : English
File size : 18375 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Screen Reader : Supported
Print length : 716 pages
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The book was found!
Hands On Data Analysis with Pandas: Efficiently perform data collection wrangling analysis and visualization using Python
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
by Stefanie Molin

4.5 out of 5

Language : English
File size : 18375 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Screen Reader : Supported
Print length : 716 pages
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