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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
Learning Spark: Lightning-Fast Data Analytics
Discovering Statistics Using IBM SPSS Statistics: North American Edition
Tableau Strategies: Solving Real, Practical Problems with Data Analytics
