Best data science books
Choosing the "best" data science books can depend on your current level of expertise, specific areas of interest, and learning preferences. Here are some highly recommended books that cover various aspects of data science: 1. "The Data Science Design Manual" by Steven S. Skiena: · This book provides a comprehensive introduction to data science, covering topics such as data exploration, visualization, and statistical methods. 2. "Python for Data Analysis" by Wes McKinney: · Focused on practical data analysis using Python, this book is a great resource for those wanting to learn about data manipulation, cleaning, and analysis with the pandas library. 3. "Data Science for Business" by Foster Provost and Tom Fawcett: · Aimed at busines...