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CompTIA Data+: DAO-001 Certification Guide

You're reading from CompTIA Data+: DAO-001 Certification Guide Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781804616086

Length 370 pages

Edition 1st Edition

Concepts

Data Analysis

Author (1):

Cameron Dodd

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1: Preparing Data

2. Chapter 1: Introduction to CompTIA Data+ FREE CHAPTER

3. Chapter 2: Data Structures, Types, and Formats

4. Chapter 3: Collecting Data

5. Chapter 4: Cleaning and Processing Data

6. Chapter 5: Data Wrangling and Manipulation

7. Part 2: Analyzing Data

8. Chapter 6: Types of Analytics

9. Chapter 7: Measures of Central Tendency and Dispersion

10. Chapter 8: Common Techniques in Descriptive Statistics

11. Chapter 9: Hypothesis Testing

12. Chapter 10: Introduction to Inferential Statistics

13. Part 3: Reporting Data

14. Chapter 11: Types of Reports

15. Chapter 12: Reporting Process

16. Chapter 13: Common Visualizations

17. Chapter 14: Data Governance

18. Chapter 15: Data Quality and Management

19. Part 4: Mock Exams

20. Chapter 16: Practice Exam One

21. Chapter 17: Practice Exam Two

22. Index

Why subscribe?

23. Other Books You May Enjoy

Technical requirements

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https://github.com/PacktPublishing/CompTIA-Data-DAO-001-Certification-Guide

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Authors (1)

Cameron Dodd

Cameron Dodd

Cameron Dodd is a data professional who specializes in instruction and writing clean, simple curriculum that can be understood without an advanced degree. He has helped thousands of people around the world find their place in the field of data analytics. Recently, he wrote and taught the CompTIA Train-The-Trainer Course for Data+, where he taught instructors how to teach the information covered in this book.

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