Books > Subjects > Computers & Technology > Databases & Big Data > Data Mining
R 3,101
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
R 2,351
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
R 1,415
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL (Coding & Programming - QuickStart Guides)
R 2,363
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
R 2,612
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R 2,256
Database Internals: A Deep Dive into How Distributed Data Systems Work
R 4,022
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
R 2,197
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
R 2,443
Trustworthy Online Controlled Experiments
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