Books > Subjects > Computers & Technology > Databases & Big Data > Data Mining
R 3,110
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
R 2,579
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
R 2,358
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
R 1,419
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL (Coding & Programming - QuickStart Guides)
R 2,370
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
R 2,620
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R 2,262
Database Internals: A Deep Dive into How Distributed Data Systems Work
R 4,034
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
R 2,203
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
R 2,451
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