\u003cp\u003e\u003cb\u003eDemonstrate your Data Science skills by earning the brand-new CompTIA DataX credential\u003c/b\u003e \u003cp\u003eIn \u003ci\u003eCompTIA DataX Study Guide: Exam DY0-001,\u003c/i\u003e 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. \u003cp\u003eThis up-to-date \u003ci\u003eStudy Guide\u003c/i\u003e 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. You'll find: \u003cul\u003e \u003cli\u003eChapter review questions that validate and measure your readiness for the challenging certification exam\u003c/li\u003e \u003cli\u003eComplimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminology\u003c/li\u003e \u003cli\u003eMaterial you need to learn and shore up job-critical skills, like data processing and cleaning, machine learning model-selection, and foundational math and modeling concepts\u003c/li\u003e \u003c/ul\u003e \u003cp\u003ePerfect for aspiring and current data science professionals, \u003ci\u003eCompTIA DataX Study Guide\u003c/i\u003e is a must-have resource for anyone preparing for the DataX certification exam (DY0-001) and seeking a better, more reliable, and faster way to succeed on the test.
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