Title: Build a Large Language Model (From Scratch), Author: Sebastian Raschka
Title: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Author: Wes McKinney
Title: Murach's Python for Data Science (2nd Edition): Training and Reference, Author: Scott McCoy
Title: Learning Google Analytics: Creating Business Impact and Driving Insights, Author: Mark Edmondson
Title: Python Data Analytics: With Pandas, NumPy, and Matplotlib, Author: Fabio Nelli
Title: Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Author: Joe Reis
Title: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Author: Hadley Wickham
Title: Next-Level A/B Testing: Repeatable, Rapid, and Flexible Product Experimentation, Author: Leemay Nassery
Title: Statistics Every Programmer Needs, Author: Gary Sutton
Title: Python Data Analytics: With Pandas, NumPy, and Matplotlib, Author: Fabio Nelli
Title: Machine Learning for Time Series Forecasting with Python, Author: Francesca Lazzeri
Title: Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, Author: Gwen Shapira
Title: Apache Kafka in Action: From basics to production, Author: Anatoly Zelenin
Title: Investing for Programmers, Author: Stefan Papp
Title: The Hiring Handbook: A Toolkit for Recruitment, Assessment, and Selection Success, Author: Kasey Harboe Guentert
Title: Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results, Author: Florent Buisson
Title: Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow, Author: Magnus Ekman
Title: Machine Learning System Design: With end-to-end examples, Author: Valerii Babushkin
Title: AI-Powered Search, Author: Trey Grainger
Title: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics, Author: George Mount

Pagination Links