February 2021
Beginner to intermediate
478 pages
8h 38m
English
Overview
Python Data Analysis provides a clear step-by-step guide to using Python for all aspects of data analysis. From data collection and preprocessing to visualization and advanced analysis techniques, you'll learn how to work with Python's powerful libraries across a range of tasks.
What this Book will help me do
- Learn to manipulate datasets using pandas and NumPy.
- Master data visualization with Matplotlib, Seaborn, and other libraries.
- Understand advanced techniques like PCA and clustering.
- Explore natural language processing for textual data.
- Get hands-on experience with parallel computing using Dask.
Author(s)
Authors None Navlani and None Idris bring their extensive expertise in Python programming and data analysis to this book. With years of experience in teaching and working with real-world data challenges, they aim to make Python data analysis accessible to everyone.
Who is it for?
This book is ideal for data analysts, statisticians, and data scientists who want a hands-on understanding of Python for data analysis. It's also suitable for students and faculty in academic settings focusing on data analysis. Some Python and mathematical knowledge is recommended.
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