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CompTIA Data+: DAO-001 Certification Guide
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CompTIA Data+: DAO-001 Certification Guide
By:
Overview of this book
The CompTIA Data+ certification exam not only helps validate a skill set required to enter one of the fastest-growing fields in the world, but also is starting to standardize the language and concepts within the field. However, there’s a lot of conflicting information and a lack of existing resources about the topics covered in this exam, and even professionals working in data analytics may need a study guide to help them pass on their first attempt.
The CompTIA Data + (DAO-001) Certification Guide will give you a solid understanding of how to prepare, analyze, and report data for better insights.
You’ll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. You'll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, you’ll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. All the knowledge you've gained throughout the book will be tested with the mock tests that appear in the final chapters.
By the end of this book, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Table of Contents (24 chapters)
Preface
Part 1: Preparing Data
Chapter 1: Introduction to CompTIA Data+
Chapter 2: Data Structures, Types, and Formats
Chapter 3: Collecting Data
Chapter 4: Cleaning and Processing Data
Chapter 5: Data Wrangling and Manipulation
Part 2: Analyzing Data
Chapter 6: Types of Analytics
Chapter 7: Measures of Central Tendency and Dispersion
Chapter 8: Common Techniques in Descriptive Statistics
Chapter 9: Hypothesis Testing
Chapter 10: Introduction to Inferential Statistics
Part 3: Reporting Data
Chapter 11: Types of Reports
Chapter 12: Reporting Process
Chapter 13: Common Visualizations
Chapter 14: Data Governance
Chapter 15: Data Quality and Management
Part 4: Mock Exams
Chapter 16: Practice Exam One
Chapter 17: Practice Exam Two
Index
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