If you are ready to choose a new best statistics book for computer science, check out our detailed recommendation below!.
In Hurry? Checkout Our Top Pick Of Best Statistics Book For Computer Science.
Our Top Pick
9.7/10 our score
Best Statistics Book For Computer Science
Rank | Product Name | Score |
---|---|---|
1 |
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud |
9. 7 |
2 |
IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference |
9. 5 |
3 |
Computer Age Statistical Inference (Algorithms, Evidence, and Data Science) |
9. 1 |
4 |
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking |
8. 8 |
5 |
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python |
8. 6 |
6 |
The Book of Why: The New Science of Cause and Effect |
8. 2 |
7 |
The Book of R: A First Course in Programming and Statistics |
8. 0 |
8 |
Statistics for Health Data Science: An Organic Approach (Springer Texts in Statistics) |
7 .7 |
9 |
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data |
7. 4 |
10 |
The Model Thinker: What You Need to Know to Make Data Work for You |
7. 2 |
1. Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
9.7/10 our score
2. IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference
9.5/10 our score
3. Computer Age Statistical Inference (Algorithms, Evidence, and Data Science)
9.1/10 our score
- Cambridge University Press
4. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
8.8/10 our score
- O'Reilly Media
5. Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
8.6/10 our score
6. The Book of Why: The New Science of Cause and Effect
8.2/10 our score
7. The Book of R: A First Course in Programming and Statistics
8/10 our score
- No Starch Press
8. Statistics for Health Data Science: An Organic Approach (Springer Texts in Statistics)
7.7/10 our score
9. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
7.4/10 our score
10. The Model Thinker: What You Need to Know to Make Data Work for You
7.2/10 our score