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

Data Structures, Types, and Formats

This chapter is all about data storage. Occasionally, a data analyst will have to collect their own data, but for many, the company already has data stored and ready for use. During their career, a data analyst may encounter data stored in several different formats, and each format requires a different approach. While there are hundreds, if not thousands, of different formats, the exam only covers the most common, and this chapter will go over what you need to know about them.

Here, we will discuss things such as how data is actually stored in a database, which includes whether or not it is structured, deciding what kind of data is stored in it, and whether the database is organized to follow a specific data schema to make it more efficient. We will also cover common database archetypes, or data storage solutions that are arranged in a specific way for a specific purpose, such as a data warehouse or a data lake. After that, we will discuss why...