CompTIA DataX Study Guide
eBook - ePub

CompTIA DataX Study Guide

Exam DY0-001

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

CompTIA DataX Study Guide

Exam DY0-001

About this book

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 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 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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Yes, you can access CompTIA DataX Study Guide by Fred Nwanganga in PDF and/or ePUB format, as well as other popular books in Computer Science & Certification Guides in Computer Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Dedication
  6. Acknowledgments
  7. About the Author
  8. About the Technical Editor
  9. Introduction
  10. Chapter 1: What Is Data Science?
  11. Chapter 2: Mathematics and Statistical Methods
  12. Chapter 3: Data Collection and Storage
  13. Chapter 4: Data Exploration and Analysis
  14. Chapter 5: Data Processing and Preparation
  15. Chapter 6: Modeling and Evaluation
  16. Chapter 7: Model Validation and Deployment
  17. Chapter 8: Unsupervised Machine Learning
  18. Chapter 9: Supervised Machine Learning
  19. Chapter 10: Neural Networks and Deep Learning
  20. Chapter 11: Natural Language Processing
  21. Chapter 12: Specialized Applications of Data Science
  22. Appendix: Answers to Review Questions
  23. Index
  24. End User License Agreement