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 Governance

In this chapter, you will learn about data governance. Data governance is kind of a broad topic that is applied on multiple levels, but at its heart, it is about the policies meant to protect people and the integrity of the data. It can also be used to keep data clean, accessible, and easy to use. These policies can be international standards, national laws, local laws, industry regulations, company contracts, or even personal rules. Data analysts almost never have a say in data governance, and many ignore it completely assuming that if they accidentally break a rule, it isn’t their fault because their supervisor didn’t tell them. This is a mistake. When you are working with data, it is your personal responsibility to make sure you know what the rules are and how they apply to you. Ignoring data governance can hurt the people whose data you are using and have legal repercussions for you personally.

The rules change wildly based on where you live, what...