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. Which of the following is an appropriate time to check the quality of your data?
    1. After data manipulation
    2. After data transformation
    3. Before the final report
    4. All of the above
  2. Which of the following is a data quality dimension?
    1. Data completeness
    2. Data retention
    3. Rows passed
    4. Data manipulation
  3. Which of the following is a structured formal process for identifying the quality and efficiency of an entire database?
    1. Cross-validation
    2. Spot check
    3. Reasonable expectations
    4. Data profiling
  4. Over 9,000! is a power company that is rapidly growing in its area. Recently, it purchased another power company that was one of its major competitors. This is an appropriate time to institute MDM. True or false?
    1. True
    2. False
  5. Creating a document that explains what the variables in a dataset are, how they are used, and how they connect to one another represents which part of the MDM process?
    1. Data...