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CompTIA Data+: DAO-001 Certification Guide

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
5 (11)
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CompTIA Data+: DAO-001 Certification Guide

CompTIA Data+: DAO-001 Certification Guide

5 (11)
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)
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1
Part 1: Preparing Data
7
Part 2: Analyzing Data
13
Part 3: Reporting Data
19
Part 4: Mock Exams

Understanding measures of central tendency

A measure of central tendency is a summary of a dataset in a single number. The name comes from the fact that these values should be in the center of your distribution and should be the value with the highest probability of occurring. Overall, because they are useful summaries, they are often used as variables in other statistical analyses. You can use them by themselves. It is easiest to compare two averages than to compare every value in two datasets.

There are a few different ones, but in common practice, you will only come across three:

  • Mean
  • Median
  • Mode

You may have heard of these before, but let’s go over them briefly.

Mean

The mean is also called the average. To find the average, you take the sum of the values and divide them by the number of values. This may be simple, but let’s break it into steps:

  1. Find the sum of the values.
  2. Divide the sum by the number of values.

Let...

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