CompTIA Data+ Study Guide
Description
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.
More details
Other editions
Additional editions
Previous edition
Persons
ABOUT THE AUTHORS
Mike Chapple, PhD, is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame. He's a technology professional and educator with over 20 years of experience. Mike provides certification resources at his website, CertMike.com.
Sharif Nijim is an Associate Teaching Professor of IT, Analytics, and Operations at Notre Dame's Mendoza College of Business, where he also serves as the Academic Co-Director of the Master of Science in Business Analytics program.
Content
Introduction xxi
Assessment Test xxviii
Chapter 1 Today's Data Analyst 1
Chapter 2 Data Analytics Tools 17
Chapter 3 Understanding Data 43
Chapter 4 Databases and Data Acquisition 83
Chapter 5 Data Quality 145
Chapter 6 Data Analysis and Statistics 197
Chapter 7 Data Visualization with Reports and Dashboards 245
Chapter 8 Data Governance 299
Appendix 349
Index 365
