Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential. In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a Data Science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of Machine Learning; Data Science operations and processes; and specialized applications of Data Science. This up-to-date Study Guide walks you through the new, advanced-level Data Science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional Data Science role. Data Science is an interdisciplinary field that has rapidly evolved to become a cornerstone of modern business, research, and technology. At its core, Data Science integrates principles from statistics, mathematics, Computer Science, and domain-specific knowledge to unlock insights that can drive decision-making and innovation. Statistics and mathematics provide the foundational framework for data analysis, enabling data scientists to summarize data, test hypotheses, and draw inferences. Computer Science, particularly in areas such as algorithms, data structures, database management, and programming, is essential for handling and processing data efficiently. Domain expertise, meanwhile, is crucial for understanding the context of the data and interpreting the results in a meaningful way.