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

Knowing about self-service reports

Self-service reports are becoming more and more common as companies continue to develop software specifically for this purpose. There are now several different kinds of self-service reports, but the most common by far is the dashboard report. A dashboard uses software, an application, or a web service to give limited access to specific metrics, data, or visualizations.

Why are these increasing in popularity? Because after they are set up by a data analyst, anyone you give access can use the application to answer their own questions. This is especially important when there are positions in the company that require non-data specialists to interact with data. Consider a mortgage company: a mortgage agent may not be a trained data professional, but they need to be able to access things such as the current interest rate quickly and easily when working with clients. This way, they don’t need to put the client on hold, call you up, and ask you...