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CompTIA DataX Study Guide

Exam DY0-001
Brief Description
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... Read More
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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 modelling, analysis and evaluating outcomes; foundations of machine learning; data science operations and processes; and specialised 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 exam
  • Complimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminology
  • Material you need to learn and shore up job-critical skills, like data processing and cleaning, machine learning model-selection, and foundational maths and modelling 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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Book Details

INFORMATION

ISBN: 9781394238989

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 05 August 2024

Country: United States

Imprint: Sybex Inc.,U.S.

Audience: Professional and scholarly

DIMENSIONS

Spine width: 25.0mm

Width: 188.0mm

Height: 234.0mm

Weight: 544g

Pages: 416

About the Author

ABOUT THE AUTHOR

FRED NWANGANGA is a technology professional and professor in the IT, Analytics, and Operations Department within the University of Notre Dame – Mendoza College of Business. He teaches undergraduate and graduate courses in Python for Data Analytics, Machine Learning, and Unstructured Data Analytics. He has over 20 years of experience in technology management and analytics. He is the author of several LinkedIn Learning machine learning courses and the founder of the Early Bridges to Data Science Program in the Notre Dame Lucy Family Institute for Data & Society.

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