Hands-On Exploratory Data Analysis with Python
This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way possible. The book presents a unique approach to exploring hidden features in your data.
Offered by
Difficulty Level
Intermediate
Completion Time
11h44m
Language
English
About Book
Who Is This Book For?
This EDA book is for anyone interested in data analysis, especially students, statisticians, data analysts, and data scientists. The practical concepts presented in this book can be applied in various disciplines to enhance decision-making processes with data analysis and synthesis. Fundamental knowledge of Python programming and statistical concepts is all you need to get started with this book.
Hands-On Exploratory Data Analysis with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h44m total length
Exploratory Data Analysis Fundamentals
Visual Aids for EDA
EDA with Personal Email
Data Transformation
Descriptive Statistics
Grouping Dataset
Correlation
Time Series Analysis
Hypothesis Testing and Regression
Model Development and Evaluation
EDA on Wine Quality Data Analysis
Appendix
Related Resources
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