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 hypothesis testing

In this section, we will cover what hypothesis testing is and why it is an important skill to have for a data analyst. Hypothesis testing is, in a nutshell, trying to guess whether or not your hypothesis is true. If someone asks you a specific business question, this is how you give a confident yes or no answer.

There are several different types of hypothesis tests, as you can imagine, but, for the purpose of this chapter, we are going to focus on one of the most common ones. The most common form of hypothesis testing is comparing two things and saying whether or not they are the same. It is as simple as that. Sometimes, you are comparing two completely separate things. Sometimes, you are comparing a “before” and “after” group. Often, you are comparing something altered to something unaltered. Which product sells better, A or B? Are our sales this year higher than last year? Would we sell the product to more women if we...