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CompTIA DataX Study Guide

- Exam DY0-001
Af: Fred Nwanganga Engelsk Paperback

CompTIA DataX Study Guide

- Exam DY0-001
Af: Fred Nwanganga Engelsk Paperback
Tjek vores konkurrenters priser
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. You'll find: Chapter review questions that validate and measure your readiness for the challenging certification examComplimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminologyMaterial 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 Perfect for aspiring and current data science professionals, CompTIA DataX Study Guide 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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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. You'll find: Chapter review questions that validate and measure your readiness for the challenging certification examComplimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminologyMaterial 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 Perfect for aspiring and current data science professionals, CompTIA DataX Study Guide 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.
Produktdetaljer
Sprog: Engelsk
Sider: 416
ISBN-13: 9781394238989
Indbinding: Paperback
Udgave:
ISBN-10: 1394238983
Udg. Dato: 5 aug 2024
Længde: 25mm
Bredde: 235mm
Højde: 188mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 5 aug 2024
Forfatter(e): Fred Nwanganga
Forfatter(e) Fred Nwanganga


Kategori Datafangst og dataanalyse


ISBN-13 9781394238989


Sprog Engelsk


Indbinding Paperback


Sider 416


Udgave


Længde 25mm


Bredde 235mm


Højde 188mm


Udg. Dato 5 aug 2024


Oplagsdato 5 aug 2024


Forlag John Wiley & Sons Inc

Kategori sammenhænge