Exploratory Data Analysis with Python Cookbook
Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
Created by Ayodele Oluleye
Unlock the power of Python to explore and understand both structured and unstructured data. Learn practical techniques to analyze, visualize, and extract meaningful insights using popular Python libraries. Build confidence in handling real-world data challenges and making data-driven decisions.
Packt | Jun 2023 | 382 min
What You Will Learn
You will work through practical examples that guide you step by step in using Python libraries to clean, analyze, and visualize data. Each concept is introduced with clear explanations and hands-on code, helping you build skills as you progress. By practicing these techniques, you'll gain the confidence to apply EDA to your own projects.
Key Features
- Analyze and visualize data using Pandas, Matplotlib, and Seaborn
- Handle missing values, outliers, and automate exploratory analysis
- Extract insights from tabular, time series, and textual data
Target Audience
If you are a data analyst, scientist, researcher, or a curious learner with basic Python and statistics knowledge, this content is for you. It's designed for those looking to deepen their data analysis skills and uncover insights from complex datasets using Python's powerful tools.
