Data Mining

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
O'Reilly
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
R 3,212
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
O'Reilly
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
R 2,693
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
O'Reilly
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
R 2,444
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL (Coding & Programming - QuickStart Guides)
ClydeBank Media LLC
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL (Coding & Programming - QuickStart Guides)
R 1,528
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
CREATESPACE
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
R 2,456
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
O'Reilly
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R 2,734
Database Internals: A Deep Dive into How Distributed Data Systems Work
O'Reilly
Database Internals: A Deep Dive into How Distributed Data Systems Work
R 2,385
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Springer
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
R 4,147
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
O'Reilly
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
R 2,293
Trustworthy Online Controlled Experiments
Cambridge University Press
Trustworthy Online Controlled Experiments
R 2,568