Python Data Analysis
This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You’ll also get up to speed with everything from data manipulation to visualization systematically.
Offered by
Difficulty Level
Intermediate
Completion Time
15h56m
Language
English
About Book
Who Is This Book For?
This book is for data analysts, business analysts, statisticians, and data scientists looking to learn how to use Python for data analysis. Students and academic faculties will also find this book useful for learning and teaching Python data analysis using a hands-on approach. A basic understanding of math and working knowledge of the Python programming language will help you get started with this book.
Python Data Analysis
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h56m total length
Getting Started with Python Libraries
NumPy and Pandas
Statistics
Linear Algebra
Data Visualization
Retrieving, Processing, and Storing Data
Cleaning Messy Data
Signal Processing and Time Series
Supervised Learning – Regression Analysis
Supervised Learning – Classification Techniques
Unsupervised Learning – PCA and Clustering
Analyzing Textual Data
Analyzing Image Data
Parallel Computing using Dask
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