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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access requirements 242

role-based access 242

user group-based access 242

ad hoc reports 190

aggregate variables 78

all-purpose tools 196

alpha 151

type I error, interacting with 154, 155

type II error, interacting with 154, 155

alphanumeric data 22

alternative hypothesis (H1) 149

versus null hypothesis (H0) 149, 150

Anaconda

URL 93

analysis

assumptions 103

list, making 103

selecting 102

selecting, challenges 102

analysis type

selecting 104, 105

analytical tools 194

application programming interface (API) 33, 34

asynchronous API 33

audio files

format 25

automated checks 258

B

bar charts 227, 228

bell curve 111

Bernoulli distribution 113

bias 38, 39

binary variables 23

binomial distribution...