Book Image

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
Book Image

CompTIA Data+: DAO-001 Certification Guide

By: Cameron Dodd

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)
1
Part 1: Preparing Data
7
Part 2: Analyzing Data
13
Part 3: Reporting Data
19
Part 4: Mock Exams

Understanding non-parametric data

Non-parametric data is data that does not follow a normal or well-known distribution. Let’s briefly cover what that means. To put it simply, if you visualize the frequency of a numerical variable, you will often have the most common values higher in the middle. As you move away from the middle, the frequency decreases as you get larger or smaller. This creates what is commonly known as a bell curve or a normal distribution, as depicted in Figure 4.9:

Figure 4.9 – Normal distribution

Figure 4.9 – Normal distribution

In statistics, a distribution can be used to predict the probability that a new value will be any specific number. We will talk more about distributions later in this book. For now, know that there are a few distributions that are common and well-understood, such as the normal distribution depicted in the preceding screenshot.

Non-parametric data does not follow any of the common distributions. To put it another way, the data...