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

Differentiating null hypothesis and alternative hypothesis

This is the point where a lot of people get confused. When you are testing a hypothesis, you are not directly testing the hypothesis statement you write out at the beginning. You are testing to see whether the null hypothesis or the alternative hypothesis is true. Whatever you wrote out as your hypothesis will be linked to one of these two options. In other words, you are either agreeing with the null hypothesis or the alternative hypothesis. If you are still a little confused, it will make sense when we get into what these two options are.

Null hypothesis ()

The null hypothesis, most often denoted as , is the default hypothesis and says that there is no difference between the two groups. Being the default means that the two groups are the same until proven otherwise.