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

Checking on performance

Performance analysis is another slightly open-ended category that is used heavily in the business and industrial fields. At a high level, performance analysis is all about meeting goals. Are you selling as much as you thought you would? Are you producing as much as you expected? Is your team meeting deadlines? Is the manufacturing process as efficient as it should be? Are your competitors’ key performance indicators (KPIs) looking better than yours? The goals that are trying to be met change from field to field, company to company, department to department, and even team to team, so the analyses used to see whether the goals are being met vary drastically. Remember, at a high level, performance analysis is only checking to see whether you are performing as expected. There are a few general subcategories that you might find helpful.


We have discussed KPIs previously, but as a quick reminder, they are metrics that are used to gauge performance...