Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.

Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.

By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.

What you will learn

Understand how data analysts and scientists gather and analyze data
Perform data analysis and data wrangling in Python
Combine, group, and aggregate data from multiple sources
Create data visualizations with pandas, matplotlib, and seaborn
Apply machine learning (ML) algorithms to identify patterns and make predictions
Use Python data science libraries to analyze real-world datasets
Use pandas to solve common data representation and analysis problems
Build Python scripts, modules, and packages for reusable analysis code

Who this book is for

This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.

About the Author

Chad Cooper has worked in the geospatial industry over the last 21 years as a technician, analyst, and developer in state and local government, oil and gas, and academia, consulting, and logistics. For the last 2 years, he has worked as Director of Implementations and Managed Services at ROK Technologies, an Esri Platinum Business Partner specializing in managed services for the ArcGIS Enterprise platform. At work, he couldn't be happier spending the day writing Python, automating processes, and helping clients get the most out of their data through the use of the Esri platform. At home, he enjoys hanging out with his gorgeous wife of 20 years and their 3 wonderful children. They enjoy hiking, fishing, and doing nothing on a nice beach. Chad has a bachelor's degree from the Mississippi State University and a master's degree from the University of Arkansas, both in geology.

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