Exploratory Data Analysis
by John W. TukeyA seminal work that lays the foundation for EDA, emphasizing the importance of visualizing data to uncover insights.
Python for Data Analysis
by Wes McKinneyEssential for beginners, this book teaches data manipulation using Pandas, making it a perfect fit for your course.
Data Visualization: A Practical Introduction
by Kieran HealyOffers practical techniques for creating effective visualizations, essential for presenting your EDA findings.
The Visual Display of Quantitative Information
by Edward R. TufteA classic on data visualization principles that will enhance your ability to communicate insights clearly.
Practical Statistics for Data Scientists
by Peter Bruce and Andrew BruceThis book bridges statistics and data science, providing the statistical foundation needed for effective EDA.
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer KnaflicFocuses on the art of storytelling through data, crucial for presenting your EDA insights engagingly.
Naked Statistics: Stripping the Dread from the Data
by Charles WheelanA friendly introduction to statistics, helping you understand the principles behind your EDA techniques.
Data Science for Business
by Foster Provost and Tom FawcettExplains how data analysis drives business decisions, aligning perfectly with your course's focus on practical applications.