Building Data Pipelines in Machine Learning Systems: A Complete Guide to Scalable ETL, Feature Engineering, and Model Deployment Workflows

Machine Learning Made Easy: A Beginner’s Guide to Core Concepts and Real Projects (From Python to AI: A Hands-On Project-Based Series Book 4)

PostgreSQL from Scratch:: A Beginner's Guide to Building Robust Database Applications

Mastering SQL Server 2025: Build, Optimize, and Secure Enterprise Databases with Real-World Projects

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization

People Analytics: Using data-driven HR and Gen AI as a business asset

SQL Made Easy: The Ultimate Guide For Beginners on Data Querying, Manipulation and Analysis using Real-World Context to Advance Your Career in Data Analytics

Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) (World Scientific Series On Emerging Technologies 1)