Audiobook description
Learn data analysis essentials and prepare for the Data+ exam with this CompTIA exam guide, complete with practice exams towards the end
About This Audiobook
- Apply simple methods of data analysis and find out when and how to apply more complicated ones
- Take business requirements and produce a remote to the correct audience using appropriate visualizations
- Learn about data governance rules, including quality and control
In Detail
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 audiobook will be tested with the mock tests that appear in the final chapters.
By the end of this audiobook, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Audience
If you are a data analyst looking to get certified with DAO-001 exam this is the audiobook for you. This CompTIA audiobook is also ideal for who needs help in entering the quickly growing field of Data Analytics and are seeking professional certifications.
Table of contents
- Opening Credits
- Dedication and Contributors
- Preface
- 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
- 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
- Chapter 11: Types of Reports
- Chapter 12: Reporting Process
- Chapter 13: Common Visualizations
- Chapter 14: Data Governance
- Chapter 15: Data Quality and Management
- Closing Credits
Product information
- Title: CompTIA Data+: DAO-001 Certification Guide
- Author(s):
- Release date: April 2023
- Publisher(s): Packt Publishing
- ISBN: 9781805126010
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