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

Practice exam two

  1. EDA stands for what?
    1. Extra data analysis
    2. Extrapolate data architecture
    3. Extract data analyze
    4. Exploratory data analysis
  2. You run a study to see whether there is a difference in the amount of weight a hamster can lift compared to a gerbil. You find out the results and come to a conclusion. If the result was a type II error, what was your conclusion?
    1. There is a difference between hamster and gerbil lifting capacities
    2. Gerbils and hamsters can lift the same amount
    3. Hamsters can lift more than gerbils
    4. Gerbils can lift more than hamsters
  3. The following dataset is an example of what type of error?
  1. Missing data
  2. Duplicate data
  3. Invalid data
  4. Redundant data
  1. Which of the following represents the percent of observations in each category as compared to the whole?
    1. Percentage
    2. Percent change
    3. Percent difference
    4. Frequency
  2. A pharmaceutical lab wants to know whether a memory-enhancing drug works. They have two mice run the same...