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. In regard to the following table, you can state:

    ID

    Sex

    Male

    Female

    84927

    M

    TRUE

    FALSE

    69427

    M

    TRUE

    FALSE

    69427

    M

    TRUE

    FALSE

    10374

    F

    FALSE

    TRUE

    58264

    M

    TRUE

    FALSE

    90162

    F

    FALSE

    TRUE

  1. This table has redundant data
  2. This table has duplicate data
  3. This table has redundant data and duplicate data
  4. This table has neither redundant data nor duplicate data
  1. When dealing with missing data, which of the following is not a type of deletion?
    1. Listwise
    2. Singlewise
    3. Pairwise
    4. Variable
  2. Which types of errors can be found in the following table?

Employee ID

LastName

FirstName

Department

Years With Company

83784

Benhill

Floyd

...