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 questions

Let’s try to practice the material in this chapter with a few example questions.

Questions

  1. An e-commerce website runs an A/B study comparing two different website designs to see which generates more sales. What is the null hypothesis?
    1. There is a statistically significant difference between group A and group B
    2. Group A will be higher than group B
    3. Group B will be higher than group A
    4. Statistically, there is no significant difference between group A and group B
  2. The A/B study from the previous question was finished. With an alpha of 0.05, the results were a p-value of 0.04. What do these results mean?
    1. You should accept the null hypothesis and reject the alternative hypothesis
    2. You should accept the alternative hypothesis and reject the null hypothesis
    3. You should accept the null hypothesis and the alternative hypothesis
    4. You should reject BOTH the null and alternative hypotheses
  3. A small pet shop ran a study to see whether dog owners bought more pet food...