April 2021
Beginner to intermediate
788 pages
17h 16m
English
Overview
'Hands-On Data Analysis with Pandas' guides you to gain expertise in the Python pandas library for data analysis and manipulation. With practical, real-world examples, you'll learn to analyze datasets, visualize data trends, and implement machine learning models for actionable insights.
What this Book will help me do
- Understand and implement data analysis techniques with Python.
- Develop expertise in data manipulation using pandas and NumPy.
- Visualize data effectively with pandas visualization tools and seaborn.
- Apply machine learning techniques with Python libraries.
- Combine datasets and handle complex data workflows efficiently.
Author(s)
Stefanie Molin is a software engineer and data scientist with extensive experience in analytics and Python. She has worked with large data-driven systems and has a strong focus on teaching data analysis effectively. Stefanie's books are known for their practical, hands-on approach to solving real data problems.
Who is it for?
This book is perfect for aspiring data scientists, data analysts, and Python developers. Readers with beginner to intermediate skill levels in Python will find it accessible and informative. It is designed for those seeking to build practical data analysis skills. If you're looking to add data science and pandas to your toolkit, this book is ideal.
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