Exploratory Data Analysis with Python Cookbook
Exploratory Data Analysis in Python is a practical resource that helps you to learn techniques, libraries, and steps for uncovering patterns and actionable insights embedded in tabular, time series, and textual data. This book gets you started with implementing the various EDA techniques for data analysis or ML projects using Python.
Offered by
Difficulty Level
Intermediate
Completion Time
12h44m
Language
English
About Book
Who Is This Book For?
Whether you are a data analyst, data scientist, researcher or a curious learner looking to analyze structured and unstructured data, this book will appeal to you. It aims to empower you with essential knowledge and practical skills for analyzing and visualizing data to uncover insights. It covers several EDA concepts and provides hands-on instructions on how these can be applied using various Python libraries. Familiarity with basic statistical concepts and foundational knowledge of python programming will help you understand the content better and maximize your learning experience.
Exploratory Data Analysis with Python Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h44m total length
Generating Summary Statistics
Preparing Data for EDA
Visualising Data in Python
Performing Univariate Analysis in Python
Performing Bivariate analysis in Python
Performing Multivariate analysis in Python
Analysing Time Series data
Analysing Text data
Dealing with Outliers and Missing values
Performing Automated EDA in Python
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