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Exploratory Data Analysis

by John W. Tukey

A seminal work that lays the foundation for EDA, emphasizing the importance of visualizing data to uncover insights.

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Python for Data Analysis

by Wes McKinney

Essential for beginners, this book teaches data manipulation using Pandas, making it a perfect fit for your course.

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Data Visualization: A Practical Introduction

by Kieran Healy

Offers practical techniques for creating effective visualizations, essential for presenting your EDA findings.

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The Visual Display of Quantitative Information

by Edward R. Tufte

A classic on data visualization principles that will enhance your ability to communicate insights clearly.

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Practical Statistics for Data Scientists

by Peter Bruce and Andrew Bruce

This book bridges statistics and data science, providing the statistical foundation needed for effective EDA.

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Storytelling with Data: A Data Visualization Guide for Business Professionals

by Cole Nussbaumer Knaflic

Focuses on the art of storytelling through data, crucial for presenting your EDA insights engagingly.

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Naked Statistics: Stripping the Dread from the Data

by Charles Wheelan

A friendly introduction to statistics, helping you understand the principles behind your EDA techniques.

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Data Science for Business

by Foster Provost and Tom Fawcett

Explains how data analysis drives business decisions, aligning perfectly with your course's focus on practical applications.

📚

The Art of Data Science

by Roger D. Peng and Elizabeth Matsui

Provides a high-level overview of the data analysis process, ideal for understanding the big picture of EDA.

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Data Points: Visualization That Means Something

by Nathan Yau

Combines data visualization techniques with practical examples, helping you create meaningful visual insights.

Dive into these books to enrich your learning experience and empower your journey in data analysis. Let their insights guide you to mastery!