Data Science Guide for Beginners: Comprehensive Guide to Understanding the Power of Artificial Intelligence

Data Intensive Applications: Architecting Scalable Solutions for Informed Decision-Making and Innovation

Big Data and Analytics for Beginners: A Beginner's Guide to Understanding Big Data and Analytics

Data Quality for Beginners: Architecting Scalable Solutions for Informed Decision-Making and Innovation

Data-Driven Science and Engineering: Mastering the Art of Data-Driven Decision Making

Neural Networks For Beginners: How to Build Intelligent Systems from Scratch

Python for Data Analysis: From Basics to Advanced Data Science Techniques

Neural Networks for Beginners: Comprehensive Guide to Understanding the Power of Artificial Intelligence

Data Structures and Algorithms for Beginners: Elevating Your Coding Skills with Data Structures and Algorithms

Data-Oriented Programming for Beginners

Data Aggregation

Data Governance Guide: Principles, Practices, and Implementation

DataOps: The Essential Guide to Data Operations for Modern Enterprises

In-Memory Computing: Revolutionizing Data Processing and Analytics for Real-Time Decision-Making in the Age of Big Data

Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data. Comprehensive review of Apache Hadoop, Spark and Flink.

Data Virtualization

Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data.

Pytorch: Building AI Models with Ease and Flexibility

Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

Comprehensive Guide to Machine Learning for Beginners: Mastering the Basics