CompTIA Data+ Study Guide
eBook - ePub

CompTIA Data+ Study Guide

Exam DA0-002

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

CompTIA Data+ Study Guide

Exam DA0-002

About this book

Prepare for the CompTIA Data+ exam, as well as a new career in data science, with this effective study guide

In the newly revised second edition of CompTIA Data+ Study Guide: Exam DA0-002, veteran IT professionals Mike Chapple and Sharif Nijim provide a powerful, one-stop resource for anyone planning to pursue the CompTIA Data+ certification and go on to an exciting new career in data science. The authors walk you through the info you need to succeed on the exam and in your first day at a data science-focused job.

Complete with two online practice tests, this book comprehensively covers every objective tested by the updated DA0-002 exam, including databases and data acquisition, data quality, data analysis and statistics, data visualization, and data governance.

You'll also find:

  • Efficient and comprehensive content, helping you get up-to-speed as quickly as possible
  • Bite-size chapters that break down essential topics into manageable and accessible lessons
  • Complimentary access to Sybex' famous online learning environment, with practice questions, a complete glossary of common industry terminology, hundreds of flashcards, and more

A practical and hands-on pathway to the CompTIA Data+ certification, as well as a new career in data science, the CompTIA Data+ Study Guide, Second Edition, offers the foundational knowledge, skills, and abilities you need to get started in an exciting and rewarding new career.

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Yes, you can access CompTIA Data+ Study Guide by Mike Chapple,Sharif Nijim 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. Front Advertisement
  4. Title Page
  5. Copyright
  6. Dedication
  7. Acknowledgments
  8. About the Authors
  9. About the Technical Editor
  10. Introduction
  11. Assessment Test
  12. Answers to Assessment Test
  13. Chapter 1: Today’s Data Analyst
  14. Chapter 2: Data Analytics Tools
  15. Chapter 3: Understanding Data
  16. Chapter 4: Databases and Data Acquisition
  17. Chapter 5: Data Quality
  18. Chapter 6: Data Analysis and Statistics
  19. Chapter 7: Data Visualization with Reports and Dashboards
  20. Chapter 8: Data Governance
  21. Appendix: Answers to the Review Questions
  22. Index
  23. End User License Agreement