Best 10 Data Science Books in 2025
Explore the best 10 data science books to read in 2025. These handpicked titles cover the fundamentals of data analysis, statistical modeling, data visualization, and real-world applications.
Ace the Data Science Interview
201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street by Nick Singh (Author), Kevin Huo (Author)
R for Data Science
Import, Tidy, Transform, Visualize, and Model Data ( 2nd Edition ) by Hadley Wickham (Author), Mine Cetinkaya-Rundel (Author), Garrett Grolemund (Author)
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python 2nd Edition by Peter Bruce (Author), Andrew Bruce (Author), Peter Gedeck (Author)
Data Science from Scratch
First Principles with Python ( 2nd Edition ) by Joel Grus (Author)
Essential Math for Data Science
Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics 1st Edition by Thomas Nield (Author)
Data Science
The MIT Press Essential Knowledge series by John D. Kelleher (Author), Brendan Tierney (Author)
Data Science for Business
What You Need to Know about Data Mining and Data-Analytic Thinking 1st Edition by Foster Provost (Author), Tom Fawcett (Author)
Storytelling with Data
A Data Visualization Guide for Business Professionals 1st Edition by Cole Nussbaumer Knaflic (Author)
Becoming a Data Head
How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning 1st Edition by Alex J. Gutman (Author), Jordan Goldmeier (Author)
Build a Career in Data Science
1st Edition by Emily Robinson (Author), Jacqueline Nolis (Author)
0 Comments