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

Choosing the correct analysis

With advances in coding and data analytics programs, it can take longer to choose the correct analysis than it does to actually run it. Now there are data analytics positions where you will never have to choose because it has already been decided for you; run this code on this data every Thursday to generate a report using this template. There is nothing wrong with this, but the majority of data analytics positions will have some element of choice involved.

Now, you may have to choose between specific analyses in the exam, and we will cover those later in Chapter 10, Introduction to Inferential Statistics. A lot of the information in this section is just to help you along in your future career as a data analyst.

Why is choosing an analysis difficult?

There are dozens of different analyses for different situations, and many of those have several specialized types, and even among the specialized types, we may have variations or modifications. You...